CLF-C02 Sample Questions Answers

Architecture optimization is the best practice for cost governance that this example shows. Architecture optimization is the process of designing and implementing AWS solutions that are efficient, scalable, and cost-effective. By using specific AWS services to improve efficiency and reduce cost, the company is following the architecture optimization best practice. Some of the techniques for architecture optimization include using the right size and type of resources, leveraging elasticity and scalability, choosing the most suitable storage class, and using serverless and managed services2.

 The correct answer is B because security groups are AWS features that act as instance-level firewalls to control inbound and outbound access. Security groups are virtual firewalls that can be attached to one or more Amazon EC2 instances. Users can configure rules for security groups to allow or deny traffic based on protocols, ports, and source or destination IP addresses. The other options are incorrect because they are not AWS features that act as instance-level firewalls to control inbound and outbound access. Network access control list is an AWS feature that acts as a subnet-level firewall to control inbound and outbound access. AWS Trusted Advisor is an AWS service that provides real-time guidance to help users follow AWS best practices for security, performance, cost optimization, and fault tolerance. Virtual private gateways are AWS features that enable users to create a secure and encrypted connection between their VPC and their on-premises network. Reference: Security Groups for Your VPC

 AWS Organizations is a service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. With AWS Organizations, you can create a single payment method for all the AWS accounts in your organization through consolidated billing. Consolidated billing enables you to see a combined view of AWS charges incurred by all accounts in your organization, as well as get a detailed cost report for each individual AWS account associated with your organization. AWS Artifact is a service that provides on-demand access to AWS’ security and compliance reports and select online agreements. AWS Budgets is a service that enables you to plan your service usage, service costs, and instance reservations. AWS Trusted Advisor is a servicethat provides real-time guidance to help you provision your resources following AWS best practices. None of these services or tools offer consolidated billing.

To achieve high availability in the event of a natural disaster, the company should use EC2 instances in multiple AWS Regions. AWS Regions are geographically isolated areas that consist of multiple Availability Zones. Availability Zones are physically separate locations within an AWS Region that areengineered to be isolated from failures. By using EC2 instances in multiple AWS Regions, the company can ensure that its applications can continue to run even if one Region is affected by a disaster. AWS Global InfrastructureAWS Well-Architected Framework

The statement that is true regarding pricing for these eight instances is: four instances will be charged as RIs, and four will be charged as regular instances. Amazon EC2 Reserved Instances (RIs) are a pricing model that allows users to reserve EC2 instances for a specific term and benefit from discounted hourly rates and capacity reservation. RIs are purchased for a specific AWS Region, and can be shared across multiple accounts in an organization in AWS Organizations for consolidated billing. However, RIs are applied on a first-come, first-served basis, and there is no guarantee that all instances in the organization will be charged at the RI rate. In this case, Account A has purchased five RIs and has four instances running, so all four instances will be charged at the RI rate. Account B has not purchased any RIs and also has four instances running, so all four instances will be charged at the regular rate. The remaining RI in Account A will not be applied to any instance in Account B, and will be wasted.

 Amazon Relational Database Service (Amazon RDS) is the AWS service that the company should use to migrate its Microsoft SQL Server database management system from on premises to the AWS Cloud. Amazon RDS is a fully managed service that provides a scalable, secure, and high-performance relational database platform. Amazon RDS supports several database engines, including Microsoft SQL Server. Amazon RDS reduces the management overhead for the database environment by taking care of tasks such as provisioning, patching, backup, recovery, andmonitoring. For more information, see What is Amazon Relational Database Service (Amazon RDS)? and Amazon RDS for SQL Server.

The AWS best practice for using the AWS account root user credentials is to use them only when they alone must be used to perform a required function. The AWS account root user credentials have full access to all the resources in the account, and therefore pose a security risk if compromised or misused. You should create individual IAM users with the minimum necessary permissions for everyday tasks, and use AWS Organizations to manage multiple accounts. You should also enable multi-factor authentication (MFA) and rotate the password for the root user regularly. Some of the functions that require the root user credentials are changing the account name, closing the account, changing the support plan, and restoring an IAM user’s access.

The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating systems in the cloud. The framework consists of five pillars: operational excellence, security, reliability, performance efficiency, and cost optimization. The operational excellence pillar focuses on the ability to run workloads effectively, gain insight into operations, and continuously improve supporting processes and procedures. Therefore, the correct answer is C. You can learn more about the AWS Well-Architected Framework and its pillars.

The creation of an organization in AWS Organizations requires the use of AWS account root user credentials. The AWS account root user is the email address that was used to create the AWS account. The root user has complete access to all AWS services and resources in the account, and can perform sensitive tasks such as changing the account settings, closing the account, or creating an organization. The root user credentials should be used sparingly and securely, and only for tasks that cannot be performed by IAM users or roles4

 Spot Instances are spare Amazon EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for workloads that can tolerate interruptions, such as batch processing, data analysis, and testing. Spot Instances are allocated based on the current supply and demand, and can be reclaimed by AWS with a two-minute notice when the demand exceeds the supply5. Convertible Reserved Instances are a type of Reserved Instances that provide a significant discount (up to 54%) compared to On-Demand prices and a capacity reservation for Amazon EC2 instances. They are available in 1-year or 3-year terms and allow users to change the instance family, size, operating system, or tenancy during the term. Standard Reserved Instances are another type of Reserved Instances that provide a larger discount (up to 75%) compared to On-Demand prices and a capacity reservation for Amazon EC2 instances. They are available in 1-year or 3-year terms and do not allow users to change the instance attributes during the term. Dedicated Hosts are physical servers with Amazon EC2 instance capacity fully dedicated to the user’s use. They are suitable for users who have specific server-bound software licenses or compliance requirements.

Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures. Each Availability Zone has independent power, cooling, and physical security, and is connected to other Availability Zones in the same Region by a low-latency network. Therefore, the correct answers are A and D. You can learn more about Availability Zones and their characteristics

The correct answers are A and B because Amazon Aurora and Amazon RDS are AWS services that the company could use for the relational databases. Amazon Aurora is a relational database that is compatible with MySQL and PostgreSQL. Amazon Aurora is a fully managed, scalable, and high-performance service that offers up to five times the throughput of standard MySQL and up to three times the throughput of standard PostgreSQL. Amazon RDS is a service that enables users to set up, operate, and scale relational databases in the cloud. Amazon RDS supports six popular database engines: MySQL, PostgreSQL, Oracle, SQL Server, MariaDB, and Amazon Aurora. The other options are incorrect because they are not AWS services that the company could use for the relational databases. Amazon DocumentDB (with MongoDB compatibility) is a document database that is compatible with MongoDB. Amazon Neptune is a graph database that supports property graph and RDF models. Amazon DynamoDB is a key-value and document database. Reference: Amazon Aurora, Amazon RDS

AWS Control Tower uses AWS CloudFormation to create resources in your landing zone. AWS CloudFormation is a service that helps you model and set up your AWS resources using templates. AWS Control Tower supports creating AWS::ControlTower::EnabledControl resources in AWS CloudFormation. Therefore, the correct answer is A. You can learn more about AWS Control Tower and AWS CloudFormation

AWS customer carbon footprint tool is an AWS service or tool that helps companies measure the environmental impact of their AWS usage. It allows users to estimate the carbon emissions associated with their AWS resources and services, such as EC2, S3, and Lambda. It also provides recommendations and best practices to reduce the carbon footprint and improve the sustainability of their AWS workloads4. AWS Compute Optimizer is an AWS service that helps users optimize the performance and cost of their EC2 instances and Auto Scaling groups. It provides recommendations for optimal instance types, sizes, and configurations based on the workload characteristics andutilization metrics. It does not help users measure the environmental impact of their AWS usage. Sustainability pillar is a concept that refers to the ability of a system to operate in an environmentally friendly and socially responsible manner. It is not an AWS service or tool that helps users measure the environmental impact of their AWS usage. OS-Climate (Open Source Climate Data Commons) is an initiative that aims to provide open source data, tools, and platforms to accelerate climate action and innovation. It is not an AWS service or tool that helps users measure the environmental impact of their AWS usage.

 The correct answer is C because AWS Trusted Advisor is an AWS service or tool that provides users with the ability to monitor AWS service quotas. AWS Trusted Advisor is an online tool that provides users with real-time guidance to help them provision their resources following AWS best practices. One of the categories of checks that AWS Trusted Advisor performs is service limits, which monitors the usage of each AWS service and alerts users when they are close to reaching the default limit. The other options are incorrect because they are not AWS services or tools that provide users with the ability to monitor AWS service quotas. AWS CloudTrail is a service that enables users to track user activity and API usage across their AWS account. AWS Cost and Usage Reports is a tool that enables users to access comprehensive information about their AWS costs and usage. AWS Budgets is a tool that enables users to plan their service usage, costs, and reservations. Reference: [AWS Trusted Advisor FAQs]

 Amazon Elastic File System (Amazon EFS) and Amazon FSx offer file storage. File storage is a type of storage that organizes data into files and folders, and allows multiple users or applications to access and share the same files over a network. Amazon EFS is a fully managed, scalable, and elastic file system that supports the Network File System (NFS) protocol and can be used with Amazon EC2 instances and AWS Lambda functions. Amazon FSx is a fully managed service that provides two file system options: Amazon FSx for Windows File Server, which supports the Server Message Block(SMB) protocol and is compatible with Microsoft Windows applications; and Amazon FSx for Lustre, which is a high-performance file system that is optimized for compute-intensive workloads

AWS WAF is the AWS service that the company should use to configure rules to identify threats and protect applications from malicious network access. AWS WAF is a web application firewall that helps to filter, monitor, and block malicious web requests based on customizable rules. AWS WAF can be integrated with other AWS services, such as Amazon CloudFront, Amazon API Gateway, and Application Load Balancer. For more information, see What is AWS WAF? and How AWS WAF Works.

The company should use the AWS Billing console to access a report about the estimated environmental impact of the company’s AWS usage. The AWS Billing console provides customers with various tools and reports to manage and monitor their AWS costs and usage. One of the reports available in the AWS Billing console is the AWS Sustainability Dashboard, which shows the estimated carbon footprint and energy mix of the customer’s AWS usage. The company can use this dashboard to measure and improve the sustainability of their cloud workloads. AWS Organizations, IAM policy, and Amazon Simple Notification Service (Amazon SNS) are not services or features that can provide a report about the estimated environmental impact of the company’s AWS usage. AWS Organizations is a service that enables customers to centrally manage and govern their AWS accounts. IAM policy is a document that defines the permissions for an IAM identity (user, group, or role) or an AWS resource. Amazon SNS is a fully managed pub/sub messaging service that enables customers to send messages to subscribers or other AWS services.

 AWS Organizations is a service that enables you to consolidate multiple AWS accounts into an organization that you create and centrally manage. With AWS Organizations, you can apply service control policies (SCPs) across multiple AWS accounts to restrict what services and actions users and roles can access. You can also use AWS Organizations to enable features such as consolidated billing, AWS Config rules and conformance packs, and AWS CloudFormation StackSets across multiple accounts3. One of the benefits of using AWS Organizations is that you can share your Reserved Instances (RIs) with all of the accounts in your organization. This enables you to take advantage of the billing benefits of RIs without having to specify which account will use them4. AWS Systems Manager is a service that gives you visibility and control of your infrastructure on AWS. Cost Explorer is a tool that enables you to visualize, understand, and manage your AWS costs and usage over time. AWS Trusted Advisor is a service that provides real-time guidance to help you provision your resources following AWS best practices. None of these services or tools can help you manage the AWS accounts for all the departments so that the departments can share the Reserved Instances.

AWS Outposts is an AWS service that meets the requirement of running AWS services on premises with access to the company network and the company’s VPC. AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience. AWS Outposts is ideal for workloads that require low latency access to on-premises systems, local data processing, or local data storage2.

The correct answers are B and D because a virtual private gateway and a customer gateway are components of an AWS Site-to-Site VPN connection. A virtual private gateway is the AWS side of the VPN connection that attaches to the customer’s VPC. A customer gateway is the customer side of the VPN connection that resides in the customer’s network. The other options are incorrect because they are not components of an AWS Site-to-Site VPN connection. AWS Storage Gateway is a service that connects on-premises software applications with cloud-based storage. NAT gateway is a service that enables instances in a private subnet to connect to the internet or other AWS services, but prevents the internet from initiating a connection with those instances. Internet gateway is a service that enables communication between instances in a VPC and the internet. Reference: [What is AWS Site-to-Site VPN?]

 AWS Organizations helps to centrally manage billing and allow controlled access to resources across AWS accounts. AWS Organizations is a service that enables the user to consolidate multiple AWS accounts into an organization that can be managed as a single unit. AWS Organizations allows the user to create groups of accounts and apply policies to them, such as service control policies (SCPs) that specify the services and actions that users and roles can access in the accounts. AWS Organizations also enables the user to use consolidated billing, which combines the usage and charges from all the accounts in the organization into a single bill.

Amazon RDS is the AWS service that will meet the requirements of using a managed service to simplify the setup, operation, and scaling of a MySQL database in the AWS Cloud. Amazon RDS is a relational database service that supports MySQL and other popular database engines. Amazon RDS handles routine database tasks such as provisioning, patching, backup, recovery, and scaling. Amazon RDS also offers high availability, security, and compatibility features3

 Amazon S3 offers unlimited storage for any amount of data. You can store as many objects as you want, and each object can be as large as 5 terabytes. You pay only for the storage space that you actually use, and there are no minimum commitments or upfront fees. Amazon S3 also provides high durability, availability, scalability, and security for your data.

The correct answer is A because Amazon CloudFront is an AWS service that provides secure delivery of data, videos, applications, and APIs to users globally with low latency and high transfer speeds. Amazon CloudFront is a fast content delivery network (CDN) that integrates with other AWS services, such as Amazon S3, Amazon EC2, AWS Lambda, and AWS Shield. Amazon CloudFront delivers content through a worldwide network of edge locations that are located close to the end users. The other options are incorrect because they are not AWS services that provide secure delivery of data, videos, applications, and APIs to users globally with low latency and high transfer speeds. Elastic Load Balancing is an AWS service that distributes incoming traffic across multiple targets, such as Amazon EC2 instances, containers, and IP addresses. Amazon S3 is an AWS service that provides object storage for data of any size and type. Amazon Elastic Transcoder is an AWS service that converts media files from their original source format into different formats that will play on various devices. Reference: Amazon CloudFront FAQs

Provisioning additional EC2 instances in other Availability Zones is a way to make the application highly available, as it reduces the impact of failures and increases fault tolerance. Configuring an Application Load Balancer and assigning the EC2 instance as the ALB’s target is a way to distribute traffic among multiple instances, but it does not make the application highly available if there is only one instance. Using an Amazon Machine Image to create the EC2 instance is a way to launch a virtual server with a preconfigured operating system and software, but it does not make the application highly available by itself. Provisioning the application by using an EC2 Spot Instance is a way to use spare EC2 capacity at up to 90% off the On-Demand price, but it does not make the application highly available, as Spot Instances can be interrupted by EC2 with a two-minute notification.

 AWS Direct Connect gives users the ability to provision a dedicated and private network connection from their internal network to AWS. AWS Direct Connect links the user’s internal network to an AWSDirect Connect location over a standard Ethernet fiber-optic cable. One end of the cable is connected to the user’s router, the other to an AWS Direct Connect router. With this connection in place, the user can create virtual interfaces directly to the AWS cloud and Amazon Virtual Private Cloud (Amazon VPC), bypassing internet service providers in the network path2.

 Increased business agility is a benefit of moving to the AWS Cloud in terms of improving time to market. Business agility refers to the ability of a company to adapt to changing customer needs, market conditions, and competitive pressures. Moving to the AWS Cloud enables business agility by providing faster access to resources, lower upfront costs, and greater scalability and flexibility. By using the AWS Cloud, companies can launch new products and services, experiment with new ideas, and respond to customer feedback more quickly and efficiently. For more information, see [Benefits of Cloud Computing] and [Business Agility].

 The tasks that are the responsibility of AWS according to the AWS shared responsibility model are securing the access of physical AWS facilities and performing infrastructure patching and maintenance. The AWS shared responsibility model defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical security of the hardware, software, networking, and facilities that run the AWS services. AWS is also responsible for the maintenance and patching of the infrastructure that supports the AWS services. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications that they use. Configuring AWS Identity and Access Management (IAM), configuring security groups on Amazon EC2 instances, and patching applications that run on Amazon EC2 instances are tasks that are the responsibility of the customer, not AWS.

The advantage that users experience when they move on-premises workloads to the AWS Cloud is: elimination of expenses for running and maintaining data centers. By moving on-premises workloads to the AWS Cloud, users can reduce or eliminate the costs associated with owning and operating physical servers, storage, network equipment, and facilities. These costs include hardware purchase, maintenance, repair, power, cooling, security, and staff. Users can also benefit from the pay-as-you-go pricing model of AWS, which allows them to pay only for the resources they use, and scale up or down as needed.

AWS Systems Manager is a service that enables users to centralize and automate the management of their AWS resources. It provides a unified user interface to view operational data, such as inventory, patch compliance, and performance metrics. It also allows users to automate common and repetitive tasks, such as patching, backup, and configuration management, across all of their Amazon EC2 instances1. AWS Trusted Advisor is a service that provides best practices and recommendations to optimize the performance, security, and cost of AWS resources2. AWS CodeDeploy is a service that automates the deployment of code and applications to Amazon EC2 instances or other compute services3. AWS Elastic Beanstalk is a service that simplifies the deployment andmanagement of web applications using popular platforms, such as Java, PHP, and Node.js4.

Management of the guest operating systems is a customer’s responsibility, according to the AWS shared responsibility model. The AWS shared responsibility model defines the different security and compliance responsibilities of AWS and the customer. AWS is responsible for the security of the cloud, which includes the physical infrastructure, hardware, software, and facilities that run the AWS Cloud. The customer is responsible for security in the cloud, which includes the configuration and management of the guest operating systems, applications, data, and network traffic protection

AWS Online Tech Talks are online presentations that cover a broad range of topics at varying technical levels and provide a live Q&A session with AWS experts. They are a great resource for new AWS users who want to learn how to implement specific AWS services from other customer examples and ask questions to AWS experts. AWS documentation, AWS Marketplace, and AWS Health Dashboard do not offer the same level of interactivity and guidance as AWS Online Tech Talks. Source: AWS Online Tech Talks

The correct answer to the question is B because providing user access with AWS Identity and Access Management (IAM) is a customer responsibility according to the AWS shared responsibilitymodel. The AWS shared responsibility model is a framework that defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the global infrastructure, such as the regions, availability zones, and edge locations; the hardware, software, networking, and facilities that run the AWS services; and the virtualization layer that separates the customer instances and storage. The customer is responsible for the security in the cloud, which includes the customer data, the guest operating systems, the applications, the identity and access management, the firewall configuration, and the encryption. IAM is an AWS service that enables customers to manage access and permissions to AWS resources and services. Customers are responsible for creating and managing IAM users, groups, roles, and policies, and ensuring that they follow the principle of least privilege. Reference: AWS Shared Responsibility Model

 The AWS account root user is the first sign-in identity that is available when an AWS account is created. It has complete access to all AWS services and resources in the account. The root user email address and password are the same credentials that are used to sign in to the AWS Management Console4. The root user should be used only to perform a few account and servicemanagement tasks. For day-to-day tasks, it is recommended to use AWS Identity and Access Management (IAM) users or roles instead.

AWS Security Token Service (AWS STS) is a service that enables applications to request temporary, limited-privilege credentials for authentication with other AWS APIs. AWS STS can be used to grant access to AWS resources to users who are federated (using IAM roles), switched (using IAM users), or cross-account (using IAM roles). AWS STS can also be used to assume a role within the same account or a different account. The credentials issued by AWS STS are short-term and have a limited scope, which can enhance the security and compliance of the application. AWS STS OverviewAWS Certified Cloud Practitioner - aws.amazon.com

AWS customers are responsible for enabling encryption of data at rest for Amazon Elastic Block Store (Amazon EBS). Amazon EBS encryption offers a simple encryption solution for your EBSvolumes that does not require you to build, maintain, and secure your own key management infrastructure. You can encrypt both the boot and data volumes of your EC2 instances. You can use AWS Key Management Service (AWS KMS) customer master keys (CMKs) or your own CMKs to encrypt your volumes2.

The correct answers are A and C because patching AWS network devices and providing physical security for compute resources are tasks that are the responsibility of AWS, according to the AWS shared responsibility model. The AWS shared responsibility model is a framework that defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the global infrastructure, such as the regions, availability zones, and edge locations; the hardware, software, networking, and facilities that run the AWS services; and the virtualization layer that separates the customer instances and storage. The customer is responsible for the security in the cloud, which includes the customer data, the guest operating systems, the applications, the identity and access management, the firewall configuration, and the encryption. The other options are incorrect because they are tasks that are the responsibility of the customer, according to the AWS shared responsibility model. Setting user password rules, configuring security groups, and patching the operating system of an Amazon EC2 instance are all tasks that the customer has to perform to secure their AWS environment. Reference: AWS Shared Responsibility Model

 One of the advantages of AWS Cloud computing is that it minimizes variable costs by leveraging economies of scale. This means that AWS can achieve lower costs per unit of computing resources by spreading the fixed costs of building and maintaining data centers over a large number of customers. As a result, AWS can offer lower and more predictable prices to its customers, who only pay for the resources they consume. Therefore, the correct answer is B. You can learn more about AWS pricing and economies of scale

 Physical and environmental controls are entirely the responsibility of AWS, according to the AWS shared responsibility model. The AWS shared responsibility model defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical and environmental controls of the AWS global infrastructure, such as power, cooling, fire suppression, and physical access. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications. For more information, see [AWS Shared Responsibility Model] and [AWS Cloud Security].

AWS Secrets Manager is a service that helps you protect access to your applications, services, and IT resources. This service enables you to easily rotate, manage, and retrieve database credentials, API keys, and other secrets throughout their lifecycle1. Amazon S3 is a storage service that does not offer automatic rotation of credentials. AWS Systems Manager Parameter Store is a service that provides secure, hierarchical storage for configuration data management and secrets management2, but it does not offer automatic rotation of credentials. AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account3, but it does not store or rotate credentials.

 The correct answer is C because Amazon Cognito provides identity federation and user authentication for web and mobile applications. Amazon Cognito allows users to sign in with their social media, email, or online shopping accounts. The other options are incorrect because they do not provide identity federation or user authentication. AWS IAM Identity Center (AWS Single Sign-On) is a service that enables users to access multiple AWS accounts and applications with a single sign-on experience. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. AWS Identity and Access Management (IAM) is a service that enables users to manage access to AWS resources using users, groups, roles, and policies. Reference: Amazon Cognito FAQs

 Availability Zones contain multiple data centers. This is a characteristic of the AWS global infrastructure, which consists of AWS Regions, Availability Zones, and edge locations. AWS Regions are geographically isolated areas that contain multiple Availability Zones. Availability Zones are physically separate locations within an AWS Region that are engineered to be isolated from failures and connected by low-latency, high-throughput, and highly redundant networking. Each Availability Zone contains one or more data centers that house the servers and storage devices that run AWS services. Edge locations are sites that are located closer to the end users and provide caching and content delivery services. AWS Global InfrastructureAWS Certified Cloud Practitioner - aws.amazon.com

Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for the AWS environment. It analyzes network and account activity using machine learning and threat intelligence to identify potential security threats, such as unauthorized access, compromised credentials, malicious hosts, and reconnaissance activities. It also generates detailed and actionable findings that can be viewed on the AWS Management Console or sent to other AWS services, such as Amazon CloudWatch Events and AWS Lambda, for further analysis or remediation. Amazon GuardDuty OverviewAWS Certified Cloud Practitioner - aws.amazon.com

An Amazon Machine Image (AMI) is a deployable Amazon EC2 instance template that is prepackaged with software and security requirements. It provides the information required to launch an instance, which is a virtual server in the cloud. You can use an AMI to launch as many instances as you need. You can also create your own custom AMIs or use AMIs shared by other AWS users1.

The correct answers are B and C because they are advantages of the AWS Cloud. High economies of scale means that AWS can achieve lower variable costs than customers can get on their own. Launch globally in minutes means that AWS has a global infrastructure that allows customers to deploy their applications and data across multiple regions and availability zones. The other options are incorrect because they are not advantages of the AWS Cloud. Trade variable expenses for capital expenses means that customers have to invest heavily in data centers and servers before they know how they will use them. Focus on managing hardware infrastructure means that customers have to spend time and money on maintaining and upgrading their physical resources. Overprovision to ensure capacity means that customers have to pay for more resources than they actually need to avoid performance issues. Reference: What is Cloud Computing?

AWS Trusted Advisoris a service that provides real-time guidance to help you provision your resources following AWS best practices. It offers checks in five categories: cost optimization, performance, security, fault tolerance, and service limits. By continuously monitoring the AWS environment, AWS Trusted Advisor helps ensure that additional developments, integrations, changes, and growth do not jeopardize the optimized infrastructure by providing ongoing optimization and security recommendations.

B. AWS Health Dashboard: Incorrect, as it provides personalized view of service health and status updates but does not offer continuous optimization and security advice.

C. Amazon Connect: Incorrect, as it is a contact center service, not related to infrastructure optimization or security.

D. AWS Systems Manager: Incorrect, as it provides operational insights and management for AWS resources but is not specifically focused on ongoing optimization and security checks.

AWS Cloud References:

AWS Trusted Advisor

 Consolidated billing is an AWS feature that allows users to combine the usage and costs of multiple AWS accounts into a single bill. This enables users to obtain billing discounts that are based on the company’s use of AWS services, such as volume pricing tiers, Reserved Instance discounts, andSavings Plans discounts5. Resource tagging is an AWS feature that allows users to assign metadata to AWS resources, such as EC2 instances, S3 buckets, and Lambda functions. This enables users to organize, track, and manage their AWS resources, such as filtering, grouping, and reporting. Pay-as-you-go pricing is an AWS pricing model that allows users to pay only for the resources and services they use, without any upfront or long-term commitments. This enables users to lower their costs by scaling up or down as needed, and avoiding over-provisioning or under-utilization. Spot Instances are spare EC2 instances that are available at up to 90% discount compared to On-Demand prices. They are suitable for workloads that can tolerate interruptions, such as batch processing, data analysis, and testing. Spot Instances are allocated based on the current supply and demand, and can be reclaimed by AWS with a two-minute notice when the demand exceeds the supply.

Amazon Route 53 is the AWS service that provides DNS resolution. DNS (Domain Name System) is a service that translates domain names into IP addresses. Amazon Route 53 is a highly available and scalable cloud DNS service that offers domain name registration, DNS routing, and health checking. Amazon Route 53 can route the traffic to various AWS services, such as Amazon EC2, Amazon S3, and Amazon CloudFront. Amazon Route 53 can also integrate with other AWS services, such as AWS Certificate Manager, AWS Shield, and AWS WAF. For more information, see [What is Amazon Route 53?] and [Amazon Route 53 Features].

Customers share responsibility with AWS for security and compliance of AWS accounts and resources. This is part of the AWS shared responsibility model, which defines the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the physical and environmental controls of the AWS global infrastructure, such as power, cooling, fire suppression, and physical access. The customer is responsible for the security in the cloud, which includes the configuration and management of the AWS resources and applications, such as identity and access management, encryption, firewall, and backup. For more information, see AWS Shared Responsibility Model and AWS Cloud Security.

Amazon EC2 Auto Scaling is the AWS service or tool that can help the company launch the number of EC2 instances that will be needed to handle the workload. Amazon EC2 Auto Scaling automatically adjusts the capacity of the EC2 instances based on the demand and the predefined scaling policies. Amazon EC2 Auto Scaling also helps to improve availability and reduce costs by scaling in and out as needed. For more information, see What is Amazon EC2 Auto Scaling? and [Getting Started with Amazon EC2 Auto Scaling].

 The AWS service that will meet the requirements of the company that needs to host a highly available application in the AWS Cloud that runs infrequently for short periods of time with the least amount of operational overhead is AWS Lambda. AWS Lambda is a serverless compute service that allows customers to run code without provisioning or managing servers. The company can use AWS Lambda to create and deploy their application as functions that are triggered by events, such as API calls, messages, or schedules. AWS Lambda automatically scales the compute resources based on the demand, and customers only pay for the compute time they consume. AWS Lambda also simplifies the management and maintenance of the application, as customers do not need to worry about the underlying infrastructure, security, or availability. Amazon EC2, AWS Fargate, and Amazon Aurora are not the best services to use for this purpose. Amazon EC2 is a service that provides scalable compute capacity in the cloud, and allows customers to launch and run virtual servers, called instances, with a variety of operating systems, configurations, and specifications. Amazon EC2 requires customers to provision and manage the instances, and pay for the instance hours they use, regardless of the application usage. AWS Fargate is a serverless compute engine for containers that allows customers to run containerized applications without managing servers or clusters. AWS Fargate requires customers to specify the amount of CPU and memory resources for each container, and pay for the resources they allocate, regardless of the application usage. Amazon Aurora is a fully managed relational database service that provides high performance, availability, and compatibility. Amazon Aurora is not a compute service, and it is not suitable for hosting an application that runs infrequently for short periods of time12

AWS Secrets Manager is the AWS service where database credentials should be stored for maximum security. AWS Secrets Manager helps to protect the secrets, such as database credentials, passwords, API keys, and tokens, that are used to access applications, services, and resources. AWS Secrets Manager enables secure storage, encryption, rotation, and retrieval of the secrets. AWS Secrets Manager also integrates with other AWS services, such as AWS Identity and Access Management (IAM), AWS Key Management Service (AWS KMS), and AWS Lambda. For more information, see [What is AWS Secrets Manager?] and [Getting Started with AWS Secrets Manager].

The architecture concept of the AWS Cloud that meets the requirements of the company that wants to migrate to the AWS Cloud and needs the ability to acquire and release resources as needed is elasticity. Elasticity means that AWS customers can quickly and easily provision and scale up or down AWS resources as their demand changes, without any upfront costs or long-term commitments. AWS provides various tools and services that enable customers to achieve elasticity, such as Amazon EC2 Auto Scaling, Amazon CloudWatch, and AWS CloudFormation. Elasticity helps customers optimize their performance, availability, and cost efficiency. Availability, reliability, and durability are other architecture concepts of the AWS Cloud, but they are not directly related to the ability to acquire and release resources as needed. Availability means that AWS customers can access their AWS resources and applications whenever and wherever they need them. Reliability means that AWS customers can depend on their AWS resources and applications to functioncorrectly and consistently. Durability means that AWS customers can preserve their data and objects for long periods of time without loss or corruption12

 AWS Lambda is a compute service that lets you run code without provisioning or managing servers. AWS Lambda executes your code only when needed and scales automatically, from a few requests per day to thousands per second. You pay only for the compute time you consume - there is no charge when your code is not running. With AWS Lambda, you can run code for virtually any type of application or backend service - all with zero administration. AWS Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, code monitoring and logging

 The correct answers are B and D because making data-driven decisions to determine cloud architectural design and testing systems at production scale are AWS Cloud design principles. Making data-driven decisions to determine cloud architectural design means that users should collect and analyze data from their AWS resources and applications to optimize their performance, availability, security, and cost. Testing systems at production scale means that users should simulate real-world scenarios and load conditions to validate the functionality, reliability, and scalability of their systems. The other options are incorrect because they are not AWS Cloud design principles. Paying for compute resources in advance means that users have to invest heavily in data centers and servers before they know how they will use them. This is not a cloud design principle, but rather a traditional IT model. Emphasizing manual processes to allow for changes means that users have to rely on human intervention and coordination to perform operational tasks and updates. This is not a cloud design principle, but rather a source of inefficiency and error. Refining operational procedures infrequently means that users have to stick to the same methods andpractices without adapting to the changing needs and feedback. This is not a cloud design principle, but rather a hindrance to innovation and improvement. Reference: AWS Well-Architected Framework

Rightsizing all the EC2 instances that are used in the deployment is the best way to run the workload in the most cost-effective way. Rightsizing means choosing the optimal instance type and size for the workload based on the performance and capacity requirements. Rightsizing helps to avoid over-provisioning or under-provisioning of the EC2 instances, which can result in wasted resources or poor performance. Rightsizing also helps to take advantage of the different pricing models and features that AWS offers, such as On-Demand, Reserved, and Spot Instances, and Auto Scaling. For more information, see Rightsizing Your Instances and [Cost Optimization with AWS].

 AWS Shield is a managed Distributed Denial of Service (DDoS) protection service that safeguards applications running on AWS. AWS Shield provides always-on detection and automatic inline mitigations that minimize application downtime and latency, so there is no need to engage AWS Support to benefit from DDoS protection3.

On-Demand Instances are the most cost-efficient pricing model for an uninterruptible workload that runs once a year for 24 hours. On-Demand Instances let you pay for compute capacity by the hour or second, depending on which instances you run. No long-term commitments or up-front payments are required. You can increase or decrease your compute capacity to meet the demands of your application and only pay the specified hourly rates for the instance you use1. This model is suitable for developing/testing applications with short-term or unpredictable workloads2. The other pricing models are not cost-efficient for this use case. Reserved Instances and Savings Plans require a commitment to a consistent amount of usage, in USD per hour, for a term of 1 or 3 years. They provide significant discounts compared to On-Demand Instances, but they are not flexible or scalable for workloads that run only once a year12. Spot Instances are the cheapest option, but they are not suitable for uninterruptible workloads, as they can be reclaimed by AWS at any time. They are recommended for applications that have flexible start and end times, or that are only feasible at very low compute prices12. Dedicated Instances are designed for compliance and licensing requirements, not for cost optimization. They are more expensive than the other options, as they run on single-tenant hardware12. References: Amazon EC2 – Secure and resizable compute capacity – AWS, Amazon EC2 - How AWS Pricing Works

AWS Artifact is your go-to, central resource for compliance-related information that matters to you. It provides on-demand access to AWS’s security and compliance reports and select online agreements. Reports available in AWS Artifact include our Service Organization Control (SOC) reports, Payment Card Industry (PCI) attestation of compliance, and certifications from accreditation bodies across geographies and compliance verticals that validate the implementation and operating effectiveness of AWS security controls. Agreements available in AWS Artifact include the Business Associate Addendum (BAA) and the Nondisclosure Agreement (NDA). AWS Artifact helps you answer the most frequently asked security and compliance questions that AWS receives from its users. References: Compliance FAQ, Compliance Solutions Guide

AWS Database Migration Service (DMS) and AWS Schema Conversion Tool are the primary services for migrating a commercial relational database to an Amazon-managed open-source database. AWS DMS helps migrate the data, while the AWS Schema Conversion Tool converts the database schema from the source database format to the target format, including SQL code. AWS SDKs are for software development, AWS Systems Manager is for operational management, and Amazon EMR is for big data processing, which are not relevant to this use case.

AWS Trusted Advisor is a tool that helps customers optimize their AWS environment by providing real-time guidance in five key areas: cost optimization, performance, security, fault tolerance, and service limits. However, the availability of the full set of Trusted Advisor checks depends on the AWS Support plan chosen.

AWS Developer Support: This plan provides access to only seven core Trusted Advisor checks. It is designed for developers experimenting or testing in AWS and does not offer the full set of Trusted Advisor checks.

AWS Business Support: This plan is the lowest-cost support plan that provides access to thefull set of AWS Trusted Advisor checks. Business Support is intended for production workloads, providing a broader range of checks, 24x7 access to Cloud Support Engineers, and more extensive support features.

AWS Enterprise On-Ramp Support: This plan offers access to all Trusted Advisor checks as well but is more expensive than the Business Support plan. It is designed for customers running production workloads and needing additional technical support but does not require the full level of engagement that comes with Enterprise Support.

AWS Enterprise Support: This is the most comprehensive and highest-cost support plan, providing access to all Trusted Advisor checks and a full range of AWS Support resources, including a Technical Account Manager (TAM), account management, concierge support, and more.

Conclusion:

The correct answer isB. AWS Business Support, as it provides access to the full set of AWS Trusted Advisor checks at thelowest cost. AWS Developer Support does not offer the complete checks, and both AWS Enterprise On-Ramp and AWS Enterprise Support are higher-cost plans that also provide the full checks.

AWS Cloud References:

AWS Support Plans

AWS Trusted Advisor

 AWS Config and service control policies (SCPs) are AWS services or features that the company can use to create and define controls (guardrails) in a newly created AWS Control Tower landing zone. AWS Config is a service that enables users to assess, audit, and evaluate the configurations of their AWS resources. It can be used to create rules that check for compliance with the desired configurations and report any deviations. AWS Control Tower provides a set of predefined AWS Config rules that can be enabled as guardrails to enforce compliance across the landing zone1. Service control policies (SCPs) are a type of policy that can be used to manage permissions in AWS Organizations. They can be used to restrict the actions that the users and roles in the member accounts can perform on the AWS resources. AWS Control Tower provides a set of predefined SCPsthat can be enabled as guardrails to prevent access to certain services or regions across the landing zone2. Amazon GuardDuty is a service that provides intelligent threat detection and continuous monitoring for AWS accounts and resources. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. AWS Identity and Access Management (IAM) is a service that allows users to manage access to AWS resources and services. It can be used to create users, groups, roles, and policies that control who can do what in AWS. It is not a feature that can be used to create and define controls (guardrails) in a landing zone. Security groups are virtual firewalls that control the inbound and outbound traffic for Amazon EC2 instances. They can be used to allow or deny access to an EC2 instance based on the port, protocol, and source or destination. They are not a feature that can be used to create and define controls (guardrails) in a landing zone.

AWS PrivateLink provides private connectivity between VPCs, AWS services, and on-premises applications without exposing traffic to the public internet. It enables private access to AWS services by creating private endpoints within a VPC, which enhances security and simplifies network architecture by keeping all communication on the AWS network. This service is ideal for scenarios where a company wants to connect AWS services and VPCs privately.

 Server-side encryption with Amazon S3 managed encryption keys (SSE-S3) and server-side encryption with AWS KMS managed keys (SSE-KMS) are the encryption types that can be used to protect objects at rest in Amazon S3. Server-side encryption means that Amazon S3 encrypts the objects before saving them on disks and decrypts them when they are downloaded. SSE-S3 uses one master key per bucket that is managed by Amazon S3. SSE-KMS uses a customer master key (CMK) that is stored in AWS Key Management Service (AWS KMS) and provides additional benefits, such as audit trails and key rotation. For more information, see Protecting Data Using Server-Side Encryption and Protecting Data Using Encryption.

AWS CloudTrail is an AWS service that enables users to accomplish the task of recording API calls made to AWS services. AWS CloudTrail is a service that tracks user activity and API usage across the AWS account. AWS CloudTrail records the details of every API call made to AWS services, such as the identity of the caller, the time of the call, the source IP address of the caller, the parameters and responses of the call, and more. Users can use AWS CloudTrail to audit, monitor, and troubleshoot their AWS resources and actions. The other options are incorrect because they are not tasks that users can accomplish using AWS CloudTrail. Generating an IAM user credentials report is a task that users can accomplish using IAM, which is an AWS service that enables users to manage access and permissions to AWS resources and services. Assessing the compliance of AWS resource configurations with policies and guidelines is a task that users can accomplish using AWS Config, which is an AWS service that enables users to assess, audit, and evaluate the configurations of their AWS resources. Ensuring that Amazon EC2 instances are patched with the latest security updates is a task that users can accomplish using AWS Systems Manager, which is an AWS service that enables users to automate operational tasks, manage configuration and compliance, and monitor system health and performance. Reference: AWS CloudTrail FAQs

Amazon SageMakeris a fully managed service that provides every developer and data scientist with the ability to build, train, and deploy machine learning (ML) models quickly. It offers integrated Jupyter notebooks for data exploration, pre-built algorithms, and automatic model tuning to optimize hyperparameters.

Why other options are not suitable:

A. Amazon Personalize: A managed machine learning service that provides personalized recommendations, but does not offer the full suite of ML tools for building, training, and deploying models.

B. Amazon Comprehend: A natural language processing (NLP) service, not a general-purpose ML model building and deployment service.

C. Amazon Forecast: A managed service specifically for creating accurate forecasts using machine learning, not for general-purpose ML model development.

AWS Service Catalog is a service that allows you to create and manage catalogs of IT services that are approved for use on AWS. You can use AWS Service Catalog to centrally manage commonly deployed IT services and help your organization achieve consistent governance and meet your compliance requirements, while enabling users to quickly deploy only the approved IT services they need1. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS software development kits (SDKs) are tools that enable you to easily integrate your applications with AWS services using your preferred programming language. AWS AppSync is a service that simplifies application development by letting you create a flexible API to securely access, manipulate, and combine data from one or more data sources. None of these services can help you limit your employees’ AWS access to a portfolio of predefined AWS resources.

Amazon Machine Image (AMI) is the option that the company can use during the launch process to configure the root volume of the EC2 instance. An AMI is a template that contains the software configuration, such as the operating system, applications, and settings, required to launch an EC2 instance. An AMI also specifies the volume size and type of the root device for the instance. Thecompany can choose an AMI provided by AWS, the AWS Marketplace, or the AWS community, or create a custom AMI. For more information, see [Amazon Machine Images (AMI)] and [Launching an Instance Using the Launch Instance Wizard].

According to the AWS shared responsibility model, the customer is responsible for the security in the cloud, which includes configuring firewalls and networks. AWS provides security groups and network access control lists (NACLs) as firewall features that customers can use to control the traffic to andfrom their AWS resources. Customers are also responsible for managing their own virtual private clouds (VPCs), subnets, route tables, internet gateways, and other network components. AWS is responsible for the security of the cloud, which includes the physical security of the facilities, thehost operating system and virtualization layer, and the AWS global network infrastructure12. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Shared responsibility model - Amazon Web Services: Risk and Compliance

 The common stakeholders for the AWS Cloud Adoption Framework (AWS CAF) platform perspective are IT architects and engineers. The AWS CAF is a guidance that helps organizations design and travel an accelerated path to successful cloud adoption. The AWS CAF organizes thecloud adoption process into six areas of focus, called perspectives, which are business, people, governance, platform, security, and operations. Each perspective is divided into capabilities, which are further divided into skills and responsibilities. The platform perspective focuses on the provisioning and management of the cloud infrastructure and services that support the business applications. The platform perspective capabilities are design, implementation, and optimization. The stakeholders for the platform perspective are the IT architects and engineers who are responsible for designing, implementing, and optimizing the cloud platform. Chief financial officers (CFOs), chief information officers (CIOs), and chief data officers (CDOs) are not the common stakeholders for the AWS CAF platform perspective. CFOs are the common stakeholders for the AWS CAF business perspective, which focuses on the value realization of the cloud adoption. CIOs are the common stakeholders for the AWS CAF governance perspective, which focuses on the alignment of the IT strategy and processes with the business strategy and goals. CDOs are the common stakeholders for the AWS CAF security perspective, which focuses on the protection of the information assets and systems in the cloud.

Amazon Macie is a data security and privacy service offered by AWS that uses machine learning and pattern matching to discover the sensitive data stored within Amazon S3. You can define your own custom type of sensitive data category that might be unique to your business or use case. Macie also provides you with dashboards and alerts that give you visibility into how your data is being accessed or moved. Macie helps you protect your data by enabling you to apply data protection techniques such as encryption, deletion, access control, and auditing. References: Strengthen the security of sensitive data stored in Amazon S3 by using additional AWS services, Security best practices for Amazon S3, Sensitive Data Protection on AWS, Sensitive Data Protection on Amazon Web Services

Understanding High Availability: High availability (HA) refers to systems that are durable and likely to operate continuously without failure for a long time. HA ensures that an architecture can withstand failures with minimal downtime.

Importance of High Availability:

Redundancy: Systems are designed with redundancy to prevent single points of failure.

Fault Tolerance: Ensures that failures do not result in significant downtime, maintaining service continuity.

Automated Recovery: Utilizes automated recovery mechanisms to quickly restore services in the event of a failure.

AWS Services for High Availability:

Multi-AZ Deployments: Services like RDS, DynamoDB, and others support Multi-AZ deployments for fault tolerance.

Elastic Load Balancing: Distributes traffic across multiple instances or availability zones to ensure no single point of failure.

Auto Scaling: Automatically adjusts the number of instances based on demand, ensuring availability even during traffic spikes.

AWS Well-Architected Framework: Reliability

Understanding the Reliability Pillar: The Reliability pillar of the AWS Well-Architected Framework focuses on the ability of a system to recover from infrastructure or service disruptions, dynamically acquire computing resources to meet demand, and mitigate disruptions such as misconfigurations or transient network issues.

Key Concepts of Reliability:

Foundations: Ensure a solid foundation on which to build, including AWS account management, limits, and networking.

Change Management: Manage changes in automation to ensure systems remain reliable during modifications.

Failure Management: Design systems to detect failures and automatically recover from them.

How to Align with Reliability Pillar:

Implement Multi-AZ Deployments: Deploy applications across multiple Availability Zones to ensure fault tolerance.

Use Auto Scaling: Automatically adjust resources to maintain system performance during demand fluctuations.

Monitor and Respond: Implement monitoring and alerting mechanisms using services like CloudWatch to detect and respond to issues proactively.

AWS Well-Architected Framework: Reliability Pillar

Consolidated billing is a feature of AWS Organizations that enables customers to consolidate billing and payment for multiple AWS accounts. With consolidated billing, customers can group multiple AWS accounts under one payer account, making it easier to manage billing and track costs across multiple accounts. Consolidated billing also offers benefits such as volume discounts, Reserved Instance discounts, and Savings Plans discounts. Consolidated billing is offered at no additional cost.

Multiple AWS accounts is a feature of AWS Organizations that enables customers to create and manage multiple AWS accounts from a central location. With multiple AWS accounts, customers can isolate workloads for different departments, projects, or environments, and apply granular access controls and policies to each account. Multiple AWS accounts also helps customers improve security, compliance, and governance of their AWS resources56. References: 5: Consolidated billing for AWS Organizations - AWS Billing, 6: Understanding Consolidated Bills - AWS Billing, 7: AWS Consolidated Billing: Tutorial & Best Practices, 8: Simplifying Your Bills With Consolidated Billing on AWS - Aimably, 9: AWS Consolidated Billing - W3Schools

AWS CloudTrail is a service that provides a record of actions taken by a user, role, or an AWS service in your AWS account. CloudTrail captures all API calls for AWS services as events, including calls from the AWS Management Console, AWS SDKs, command line tools, and higher-level AWS services. You can use CloudTrail to monitor, audit, and troubleshoot your AWS accountactivity34. AWS Trusted Advisor is a service that provides best practices recommendations for cost optimization, performance, security, and fault tolerance in your AWS account5. Amazon Inspector is a service that helps you improve the security and compliance of your applications deployed on AWS by automatically assessing them for vulnerabilities and deviations from best practices6. AWS X-Ray is a service that helps you analyze and debug your applications by collecting data about the requests that your application serves, and providing tools to view, filter, and gain insights into that data7. References: Logging AWS Audit Manager API calls with CloudTrail, Logging AWS Account Management API calls using AWS CloudTrail, Review API calls in your AWS account using CloudTrail, Monitor the usage of AWS API calls using Amazon CloudWatch, Which service enables customers to audit API calls in their AWS …

AWS KMS is the service that is used to provide encryption for Amazon EBS. AWS KMS is a managed service that enables you to easily create and control the encryption keys used to encrypt your data.Amazon EBS uses AWS KMS to encrypt and decrypt your EBS volumes and snapshots. You can choose to use either the default AWS managed CMK or your own customer managed CMK for encryption. AWS KMS also provides features such as key rotation, audit logging, and access control policies to help you manage your encryption keys and protect your data12. The other services are not used to provide encryption for Amazon EBS. AWS Certificate Manager is a service that lets you provision, manage, and deploy public and private SSL/TLScertificates for use with AWS services and your internal connected resources3. AWS Systems Manager is a service that provides a unified user interface to view and manage your AWS resources, automate common operational tasks, and apply compliance policies4. AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. References: Amazon EBS encryption, AWS Key Management Service, AWS Certificate Manager, AWS Systems Manager, [AWS Config]

AWS Cost Exploreris a tool that enables you to view and analyze your costs and usage. It provides an easy-to-use interface to visualize, understand, and manage AWS costs and usage over time. Cost Explorer allows the company to monitor ongoing costs, set budget alerts, and analyze cost drivers, which is ideal for keeping the cost of running an ecommerce website within a specific budget.

B. AWS SDKs: Incorrect, as they are software development kits that allow integration with AWS services but do not provide cost monitoring or management capabilities.

C. EC2 Image Builder: Incorrect, as it is a service for automating the creation of virtual machine images, not for monitoring costs.

D. AWS CloudFormation: Incorrect, as it is used for provisioning and managing infrastructure as code, not for cost monitoring.

AWS Cloud References:

AWS Cost Explorer

AWS WAF is a web application firewall service that helps protect web applications from common web exploits that could affect availability, compromise security, or consume excessive resources. AWS WAF gives you control over which traffic to allow or block to your web applications by definingcustomizable web security rules. You can use AWS WAF to create rules that block common attack patterns, such as SQL injection or cross-site scripting, and rules that filter out specific traffic patterns you define1. AWS WAF also integrates with other AWS services, such as Amazon CloudFront, Amazon API Gateway, AWS AppSync, and AWS Load Balancer, to provide a comprehensive defense against web attacks2. Therefore, AWS WAF meets the requirements of the social media company, compared to the other options.

The other options are not suitable for the social media company’s requirements, because:

Amazon Inspector is an automated security assessment service that helps improve the security and compliance of applications deployed on AWS. Amazon Inspector automatically assesses applications for exposure, vulnerabilities, and deviations from best practices. However, Amazon Inspector does not provide a web application firewall service that can block malicious web requests3.

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. Amazon GuardDuty analyzes and processes the following data sources: VPC Flow Logs, AWS CloudTrail event logs, and DNS logs. However, Amazon GuardDuty does not provide a web application firewall service that can block malicious web requests4.

Amazon CloudWatch is a monitoring and observability service that provides data and actionable insights to monitor your applications, respond to system-wide performance changes, optimize resource utilization, and get a unified view of operational health. Amazon CloudWatch collects monitoring and operational data in the form of logs, metrics, and events, and visualizes it using automated dashboards, alarms, and notifications. However, Amazon CloudWatch does not provide a web application firewall service that can block malicious web requests.

What Is AWS WAF? - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced

AWS WAF Features - AWS WAF, AWS Firewall Manager, and AWS Shield Advanced

What Is Amazon Inspector? - Amazon Inspector

What Is Amazon GuardDuty? - Amazon GuardDuty

[What Is Amazon CloudWatch? - Amazon CloudWatch]

The AWS Cloud Adoption Framework (AWS CAF) is a tool that helps organizations plan and execute their cloud transformation journey. The AWS CAF defines four phases of the cloud transformation journey: Envision, Align, Launch, and Scale. Each phase has a specific purpose and outcome1:

Envision: This phase helps you define your vision, goals, and expected outcomes for your cloud transformation. It also helps you identify and prioritize transformation opportunities across four domains: business, people, governance, and platform2.

Align: This phase helps you identify capability gaps across six perspectives: business, people, governance, platform, security, and operations. It also helps you create strategies for improving your cloud readiness, ensure stakeholder alignment, and facilitate relevant organizational change management activities3.

Launch: This phase helps you deliver pilot initiatives in production and demonstrate incremental business value. It also helps you learn from pilots and adjust your approach before scaling to full production4.

Scale: This phase helps you expand production pilots and business value to desired scale and ensure that the business benefits associated with your cloud investments are realized and sustained.

The options A and B are the correct AWS CAF cloud transformation journey recommendations, as they are part of the four phases defined by the AWS CAF. The options C, D, and E are not AWS CAFcloud transformation journey recommendations, as they are not part of the four phases defined by the AWS CAF

On-Demand Instances are ideal for workloads that require flexibility, offering compute capacity with no upfront cost, allowing users to pay by the second for the instances they use. This makes it suitable for applications with short-term, spiky, or unpredictable workloads that cannot be interrupted. Reserved Instances require long-term commitments, Spot Instances can be interrupted, and Dedicated Instances are for specific hardware requirements, making On-Demand the correct choice for uninterruptible and flexible instance usage.

AWS CloudFormation is a service that allows you to model and provision your AWS resources using templates. You can define your infrastructure as code and automate the creation and update of your resources. AWS CloudFormation also supports nested stacks, change sets, and rollback features to help you manage complex and dynamic environments34. References:

AWS CloudFormation

AWS Certified Cloud Practitioner Exam Guide

Economies of scale are the cost advantages that result from increasing the scale of production or operation. In cloud computing, economies of scale are achieved by pooling resources and sharing them among multiple users, which reduces the unit cost of computing and storage. One of the benefits of economies of scale in cloud computing is increased speed and agility, which means the ability to deploy applications faster and respond to changing business needs more quickly. Cloud computing allows users to access computing resources on demand, without having to invest in expensive infrastructure or wait for lengthy provisioning processes. This enables users to scale up or down as needed, experiment with new ideas, and deliver value to customers faster123. References:

Economics of Cloud Computing - GeeksforGeeks

What is Cloud Economics? | VMware Glossary

ECONOMIES OF SCALE WITH CLOUD COMPUTING & SERVICES PRACTICE - IDC-Online

AWS Elastic Beanstalkis a fully managed service designed for developers who want to deploy and manage their applications without having to provision and manage the underlying infrastructure themselves. Developers can simply upload their code, and Elastic Beanstalk automatically handles the deployment, including provisioning the necessary resources (such as EC2 instances, load balancers, and auto-scaling).

A. AWS CloudFormation: Incorrect, as it is an infrastructure-as-code service for defining and provisioning AWS resources but does not directly deploy applications.

B. AWS CodeBuild: Incorrect, as it is a service for building and testing code, not for deploying applications.

D. AWS CodeDeploy: Incorrect, as it is specifically designed for automating software deployments to a variety of compute services, including EC2, but it does not manage the underlying infrastructure.

AWS Cloud References:

AWS Elastic Beanstalk

AWS Cloud Development Kit (AWS CDK) is an open source software development framework that allows you to model and provision your cloud infrastructure using familiar programming languages such as TypeScript, Python, Java, and .NET. AWS CDK enables you to use the expressive power of your favorite language to define your cloud resources, such as compute, storage, network, and application services. AWS CDK also provides a library of high-level constructs that represent AWS services and best practices. AWS CDK uses AWS CloudFormation in the background to deploy your resources in a safe and repeatable manner12. References:

AWS Cloud Development Kit (CDK) – TypeScript and Python are Now Generally Available

AWS Cloud Development Kit (AWS CDK) - Introduction to DevOps on AWS

AWS Marketplace is an online store that helps customers find, buy, and immediately start using the software and services that run on AWS. Customers can choose from a wide range of software products in popular categories such as security, networking, storage, machine learning, business intelligence, database, and DevOps. Customers can also use AWS Marketplace to purchase software as a service (SaaS) solutions that are integrated with AWS. Customers can benefit from simplified procurement, billing, and deployment processes, as well as flexible pricing options and free trials. Customers can also leverage AWS Marketplace to discover and subscribe to solutions offered by AWS Partners, such as the security software vendor mentioned in the question. References: AWS Marketplace, [AWS Marketplace: Software as a Service (SaaS)], [AWS Cloud Practitioner Essentials: Module 6 - AWS Pricing, Billing, and Support]

AWS Cloud Adoption Framework (AWS CAF) is a set of best practices, tools, and guidance that helps organizations get started with cloud technologies. AWS CAF helps organizations identify and prioritize transformation opportunities, evaluate and improve their cloud readiness, and iteratively evolve their transformation roadmap. AWS CAF groups its capabilities in six perspectives: Business, People, Governance, Platform, Security, and Operations. Each perspective comprises a set of capabilities that functionally related stakeholders own or manage in the cloud transformation journey1

AWS Managed Services (AMS) is a service that operates AWS infrastructure on behalf of customers, providing a secure AWS Landing Zone, features that help meet various compliance program requirements, a proven enterprise operating model, on-going cost optimization, and day-to-day infrastructure management. AMS does not help customers identify and prioritize business transformation opportunities or evaluate their cloud readiness2

AWS Well-Architected Framework is a set of six pillars and lenses that help cloud architects design and run workloads in the cloud. It provides a consistent approach for customers and AWS Partners to evaluate and implement designs that scale with their needs. AWS Well-Architected Framework helps customers understand the pros and cons of decisions they make while building systems on AWS, but it does not help them identify and prioritize business transformation opportunities3

AWS Migration Hub is a tool that lets customers discover, plan, and track their existing servers and applications for migration to AWS. It offers journey templates, cross-team collaboration, application and server discovery, strategy recommendations, orchestration and simple dashboard. AWS Migration Hub simplifies the migration and modernization process, but it does not help customers identify and prioritize business transformation opportunities or evaluate their cloud readiness4

Amazon FSx for Windows File Server is a fully managed file server that supports Microsoft workloads and file systems, including the SMB protocol. It provides features such as user quotas, end-user file restore, and Microsoft Active Directory integration. Amazon EFS is a fully managed file system that supports the NFS protocol, not SMB. Amazon FSx for Lustre is a fully managed file system that supports high-performance computing workloads, not Microsoft workloads. Amazon EBS is a block storage service that does not provide a file system or SMB support. References: Amazon FSx for Windows File Server, Amazon FSx for Lustre, Amazon EFS, Amazon EBS

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS is responsible for protecting the infrastructure that runs all of the services offered in the AWS Cloud, such as the global network, the hardware, the software, and the facilities. The customer is responsible for properly configuring the security of the provided service, such as the guest operating system, the application software, the data, and the network traffic. For abstracted services, such as Amazon RDS, AWS operates the infrastructure layer, the operating system, and the database software, while the customer is responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriate permissions12.

Therefore, the tasks that are the customer’s responsibility are:

Perform client-side data encryption: The customer is responsible for encrypting their data before sending it to AWS, and decrypting it after receiving it from AWS. This ensures that the data is protected in transit and at rest. AWS provides various encryption options, such as AWS Key Management Service (AWS KMS), AWS CloudHSM, and AWS Certificate Manager (ACM)3.

Configure IAM credentials: The customer is responsible for creating and managing IAM users, groups, roles, and policies that control the access to AWS resources and services. IAM credentials include user names, passwords, access keys, and permissions4.

The tasks that are not the customer’s responsibility are:

Establish the global infrastructure: AWS is responsible for building and maintaining the global network of regions, availability zones, and edge locations that provide low latency, high availability, and fault tolerance for the AWS Cloud5.

Secure edge locations: AWS is responsible for protecting the physical security of the edge locations, which are sites that deliver cached content to end users with improved performance6.

Patch Amazon RDS DB instances: AWS is responsible for applying patches and updates to the operating system and the database software of the Amazon RDS DB instances, which are managed relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and Amazon Aurora. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Shared responsibility model - Amazon Web Services: Risk and Compliance

Encryption - Amazon Web Services (AWS)

What Is IAM? - AWS Identity and Access Management

Global Infrastructure - Amazon Web Services (AWS)

Amazon CloudFront Features - Content Delivery Network (CDN)

[What Is Amazon Relational Database Service (Amazon RDS)? - Amazon Relational Database Service]

Understanding EC2 Image Builder: EC2 Image Builder is a fully managed service that simplifies the creation, maintenance, validation, and testing of Amazon Machine Images (AMIs).

Why Use EC2 Image Builder:

Automation: Automates the creation and management of AMIs, reducing manual efforts and the risk of errors.

Customization: Allows you to customize the images to include necessary software, configurations, and security settings.

Compliance: Ensures that the images comply with your security and operational standards through continuous monitoring and testing.

How to Implement EC2 Image Builder:

Create a Recipe: Define an image recipe specifying the base image and components to be included.

Build Pipeline: Set up an image pipeline that automates the building and testing of the AMI based on a schedule or trigger.

Distribute Images: Use the produced AMIs across multiple AWS regions and accounts as needed.

EC2 Image Builder

AWS Service Catalog enables companies to create, manage, and distribute catalogs of approved infrastructure as code (IaC) templates and software configurations. This service supports infrastructure automation by allowing users to deploy resources using predefined templates, which align with the company's policies and best practices. It helps in managing cloud resources at scale by utilizing IaC principles, enabling consistent deployments, and enforcing governance across AWS resources. AWS Service Catalog is an excellent choice for organizations implementing IaC.

AWS serverless computing is a way of building and running applications without thinking about servers. AWS manages the infrastructure for you, so you don’t have to provision, scale, patch, or monitor servers. You only pay for the compute time you consume, and you can focus on your application logic instead of managing servers12. References: Serverless Computing – Amazon Web Services, AWS Serverless Computing, Benefits, Architecture and Use-cases - XenonStack

According to the AWS Shared Responsibility Model, AWS is responsible for the security of the cloud, while the customer is responsible for the security in the cloud. This means that AWS is responsible for protecting the infrastructure that runs AWS services, such as DynamoDB, while the customer is responsible for properly configuring the security of the provided service. For abstracted services, such as DynamoDB, the customer is primarily responsible for managing their data, classifying their assets, and using IAM tools to apply the appropriatepermissions12. Therefore, the customer is responsible for controlling the access to DynamoDB tables, such as by creating IAM policies, roles, and users, and using encryption and authentication mechanisms3. References:

Shared Responsibility Model - Amazon Web Services (AWS)

Security and compliance in Amazon DynamoDB - Amazon DynamoDB

What is Shared Responsibility Model? - Check Point Software

Understanding S3 Intelligent-Tiering: S3 Intelligent-Tiering is designed to optimize costs by automatically moving data to the most cost-effective access tier based on changing access patterns. It is ideal for data with unknown or unpredictable access patterns.

Why S3 Intelligent-Tiering is Cost-Effective:

Automatic Tiering: Moves data between two access tiers (frequent and infrequent access) based on changing access patterns, optimizing storage costs without performance impact.

No Retrieval Fees: Unlike other storage classes, there are no retrieval fees in Intelligent-Tiering, making it cost-effective for data with unpredictable access patterns.

Monitoring and Automation: Automatically monitors access patterns and transitions data, reducing the need for manual intervention.

When to Use S3 Intelligent-Tiering:

Unpredictable Access Patterns: Ideal for datasets where the access frequency cannot be determined or changes frequently.

Cost Optimization: For organizations looking to minimize storage costs without sacrificing performance or requiring manual intervention to move data between tiers.

Amazon S3 Intelligent-Tiering

Amazon S3 Storage Classes

AWS Artifact is a service provided by AWS that offers on-demand access to AWS compliance reports, including the Payment Card Industry (PCI) reports. It is the primary tool for retrieving compliance reports such as Service Organization Control (SOC) reports, ISO certifications, and Payment Card Industry Data Security Standard (PCI DSS) reports.

To obtain these reports:

The company should log into the AWS Management Console and navigate to AWS Artifact.

From there, they can select and download the necessary compliance reports.

Why other options are not suitable:

A. Contact AWS Support: AWS Support is not needed to obtain these reports; they are readily available through AWS Artifact.

C. Download reports from AWS Security Hub: AWS Security Hub is a service that provides a comprehensive view of security alerts and compliance status, but it does not host or provide compliance reports like PCI DSS.

D. Contact an AWS technical account manager (TAM): While a TAM may assist in various AWS-related queries, they are not required to obtain PCI reports. AWS Artifact is designed for this purpose.

According to the AWS shared responsibility model, AWS is responsible for the security of the cloud, while customers are responsible for the security in the cloud. This means that AWS is responsible for the physical servers, networking, and operating system that run Lambdafunctions, while customers are responsible for the security of their code and AWS IAM to the Lambda service and within their function1. Customers need to manage the code within the Lambda function, such as writing, testing, debugging, deploying, and updating the code, as well as ensuring that the code does not contain any vulnerabilities or malicious code that could compromise the security or performance of the function23. References: 2: AWS Lambda - Amazon Web Services (AWS), 3: AWS Lambda Documentation, 1: Amazon CLF-C02: What is customer responsibility under AWS … - PUPUWEB

AWS Direct Connect is a service that establishes a dedicated network connection between your on-premises network and one or more AWS Regions. AWS Direct Connect can be used to create a private connection between an on-premises workload and an AWS Cloud workload, bypassing the public internet and reducing network costs, latency, and bandwidth issues. AWS Direct Connect can also provide increased security and reliability for your hybrid cloud applications and data transfers. References:

AWS Direct Connect

What is AWS Direct Connect?

AWS Direct Connect User Guide

AWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from your premises to AWS. Using AWS Direct Connect, you can establish private connectivity between AWS and your datacenter, office, or colocation environment, which in many cases can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections12. References: 1: Dedicated Network Connection - AWS Direct Connect - AWS, 2: What is AWS Direct Connect? - AWS Direct Connect

Amazon S3 (Simple Storage Service)is a scalable object storage service that allows users to store and retrieve any amount of data at any time from anywhere on the web. S3 provides the ability to make objects (files) publicly accessible via a public URL, which allows users to download files directly. S3 is highly durable, scalable, and secure, making it an ideal service for storing files that need to be accessed publicly.

Why other options are not suitable:

A. Amazon Redshift: A data warehouse service designed for complex queries and analytics, not for storing and publicly sharing files.

B. Amazon Elastic Block Store (Amazon EBS): Provides block storage for use with EC2 instances, but does not support public URLs or direct file access from the web.

C. Amazon Elastic File System (Amazon EFS): A managed file storage service for use with EC2 instances, not designed for public access via URLs.

Understanding Availability Zones (AZs): An Availability Zone is a distinct location within an AWS region that is engineered to be isolated from failures in other AZs.

Characteristics of Availability Zones:

Data Centers: Each AZ consists of one or more discrete data centers with redundant power, networking, and connectivity.

High Availability: AZs are designed for high availability, providing low-latency network connections to other zones in the same region.

Fault Isolation: They provide fault isolation and are used to deploy applications and services to ensure high availability and reliability.

Use Cases for Availability Zones:

Multi-AZ Deployments: For services like RDS, deploying in multiple AZs ensures fault tolerance.

Disaster Recovery: Setting up resources in multiple AZs helps in quick recovery from failures.

Load Balancing: Distributing traffic across AZs using Elastic Load Balancing ensures optimal performance and availability.

AWS Global Infrastructure

Understanding AWS Regions and Availability Zones

AWS Secrets Manageris the most secure way to store and manage sensitive information, such as passwords, database credentials, and API keys. Secrets Manager allows you to:

Securely store and rotate secrets.

Automatically manage secret rotation without disrupting applications.

Integrate with AWS services and third-party applications to retrieve secrets securely.

Why other options are not suitable:

A. Store passwords in an Amazon S3 bucket: Although S3 is secure, it is not designed for secret management. It lacks built-in secret rotation and fine-grained access control for sensitive data.

B. Store passwords as AWS CloudFormation parameters: CloudFormation is used for managing infrastructure as code, not for securely storing passwords.

C. Store passwords in AWS Storage Gateway: A service for hybrid storage integration, not suitable for storing secrets or passwords.

EC2 Instance Savings Plans are a flexible pricing model that offer discounted hourly rates on Amazon EC2 instance usage for a 1 or 3 year term. EC2 Instance Savings Plans provide savings up to 72% off On-Demand rates, in exchange for a commitment to a specific instance family in a chosen AWS Region (for example, M5 in Virginia). These plans automatically apply to usage regardless of size (for example, m5.xlarge, m5.2xlarge, etc.), OS (for example, Windows, Linux, etc.), and tenancy (Host, Dedicated, Default) within the specified family in a Region. With an EC2Instance Savings Plan, you can change your instance size within the instance family (for example, from c5.xlarge to c5.2xlarge) or the operating system (for example, from Windows to Linux), or move from Dedicated tenancy to Default and continue to receive the discounted rate provided by your EC2 Instance Savings Plan4567. References: 4: Compute Savings Plans – Amazon Web Services, 5: What are Savings Plans? - Savings Plans, 6: How To Cut Your AWS Bill With Savings Plans (and avoid some common …, 7: AWS Savings Plans vs Reserved Instances - GorillaStack

AWS Budgetsallows users to set custom cost and usage budgets and receive notifications when they exceed their thresholds. It provides detailed reports on cost and usage data for the past and current months, enabling the finance team to track and analyze spending.

AWS Budgets can automatically generate cost and usage reports, which can help the finance team plan ahead for each quarter based on historical data.

Why other options are not suitable:

A. Amazon Detective: A security service for analyzing and investigating AWS account activity for security purposes, not cost tracking.

B. AWS Pricing Calculator: A tool to estimate costs based on expected usage, not for tracking actual past usage.

D. AWS Savings Plans: An offering to save costs on AWS usage; it does not provide cost tracking or reporting features.

AWS Marketplaceis an online store where independent software vendors (ISVs) can list and sell their software products, including custom Amazon Machine Images (AMIs). It allows vendors to share, distribute, and monetize their AMIs with a broad audience of AWS customers.

B. AWS Data Exchange: Incorrect, as it is a service for finding, subscribing to, and using third-party data in the cloud, not for delivering custom AMIs.

C. Amazon EC2: Incorrect, as it is the service for running instances, but it does not provide a marketplace for distributing AMIs.

D. AWS Organizations: Incorrect, as it is a service for managing multiple AWS accounts, not for distributing software products like AMIs.

AWS Cloud References:

AWS Marketplace

AWS Identity and Access Management (IAM) is a service that helps you securely control access to AWS resources for your users. You use IAM to control who can use your AWS resources (authentication) and what resources they can use and in what ways (authorization). IAM also enables you to follow the principle of least privilege, which means granting only the permissions that are necessary to perform a task1. References: AWS Identity and Access Management (IAM) - AWS Documentation

Amazon EC2 Spot Instancesoffer spare AWS compute capacity at a significantly reduced cost compared to On-Demand Instances. Spot Instances are ideal for fault-tolerant and flexibleworkloads that can tolerate interruptions, such as batch jobs, data processing, or large-scale computations. These instances may be interrupted by AWS if there is a demand for capacity, but they provide the best cost optimization for workloads that can handle such interruptions.

Why other options are not suitable:

A. Amazon Macie: A data security and privacy service, not relevant to running batch jobs.

B. Amazon Neptune: A graph database service, not relevant to compute optimization.

D. Amazon EC2 On-Demand Instances: Provide flexible compute capacity but at a higher cost than Spot Instances, which are more suitable for cost optimization.

AWS Technical Account Managers (TAMs) are available to customers who subscribe to either theAWS Enterprise On-RamporAWS Enterprise Supportplans. TAMs provide proactive guidance and ongoing support, assisting with architecture reviews, operational performance improvements, and business reviews. TheBasicandDeveloperSupport plans do not include access to TAMs, and whileBusiness Supportoffers enhanced technical support, it does not include TAMs either.

 Amazon Neptune is a fully managed graph database service on AWS. A graph database is a type of database that stores and queries data as a network of nodes and edges, representing entities and relationships. Graph databases are useful for applications that deal with highly connected data, such as social networks, recommendation engines, fraud detection, and knowledge graphs45. Amazon Neptune is a fast, reliable, and scalable graph database service that supports two popular graph models: property graphs and RDF. Amazon Neptune also supports two open standards for querying graphs: Apache TinkerPop Gremlin and SPARQL. Amazon Neptune handles the heavy lifting of managing the database, such as provisioning, patching, backup, recovery, encryption, and replication456. References: 4: Managed Graph Database - Amazon Neptune - AWS, 5: Amazon Neptune – A Fully Managed Graph Database Service, 6: Working with AWS Neptune. Neptune is a fully-managed graph … - Medium

On-Demand Instances are the most flexible and cost-effective pricing model for short-term, experimental, or unpredictable workloads on AWS. On-Demand Instances let you pay only for the resources you use, without any long-term commitments or upfront fees. You can easily start and stop instances as needed, and scale up or down depending on your demand.

Savings Plans, Reserved Instances, and Dedicated Hosts are all pricing models that require a commitment for a certain amount of usage or capacity for a one- or three-year term. These pricing models offer lower prices than On-Demand Instances, but they are not suitable for workloads that only run for 3 to 6 months or have variable usage patterns. Savings Plans and Reserved Instances also offer flexibility to change instance types, sizes, or regions within the same family or pool, while Dedicated Hosts are physical servers that can only run specific instance types.

AWS Storage Gateway is a hybrid cloud storage service that provides on-premises access to virtually unlimited cloud storage. You can use AWS Storage Gateway to simplify storage management and reduce costs for key hybrid cloud storage use cases. One of these use cases is tape-based backup, which allows you to store data backups on virtual tapes in the AWS Cloud. You can use the Tape Gateway feature of AWS Storage Gateway to extend your existing physical tape library to the AWS Cloud. Tape Gateway provides a virtual tape infrastructure that scales seamlessly with your backup needs and eliminates the operational burden of provisioning, scaling, and maintaining a physical tape infrastructure123. References: 1: CloudStorage Appliances, Hybrid Device - AWS Storage Gateway - AWS, 2: AWS Storage Gateway Documentation, 3: AWS Storage Gateway Features | Amazon Web Services

AWS Artifact is a self-service portal that provides on-demand access to AWS security and compliance reports and select online agreements. Users can download reports such as AWS ISO certifications, PCI reports, SOC reports, and GDPR DPA, and review and accept agreements such as BAA and NDA. AWS Artifact helps users to understand and meet compliance requirements for various standards and regulations that apply to AWS services and infrastructure. AWS Artifact is the best resource for a user to find compliance-related information and reports about AWS, whereas the other options are not

According to theAWS Shared Responsibility Model, customers are responsible for managing their data, classifying their assets, and using AWS's identity and access management tools to apply the appropriate permissions. Implementingmulti-factor authentication (MFA) for IAM user accountsis a customer responsibility to enhance the security of their accounts and protect against unauthorized access.

A. Apply security patches for Amazon S3 infrastructure devices: Incorrect, as AWS is responsible for managing and patching the underlying infrastructure, including storage devices.

B. Provide physical security for AWS data centers: Incorrect, as AWS is responsible for the physical security of its data centers.

C. Install operating system updates on Lambda@Edge: Incorrect, as AWS manages the underlying infrastructure for Lambda@Edge, including operating system updates.

AWS Cloud References:

AWS Shared Responsibility Model

Amazon Elastic Container Service (Amazon ECS) is a highly scalable, fast container management service that allows you to run, stop, and manage Docker containers on a cluster of Amazon EC2 instances or a serverless environment powered by AWS Fargate. It provides secure, reliable, and scalable operations for containers, allowing users to deploy containers in a highly secure and reliable manner. Amazon Aurora is a relational database service, Amazon Athena is an interactive query service, and Amazon Polly is a text-to-speech service. Therefore, the correct answer is Amazon ECS.

Amazon Route 53 is a highly available and scalable Domain Name System (DNS) web service that can route internet traffic to the company’s ecommerce platform1. Route 53 can also register domain names, check the health of resources, and provide global DNS features2. Route 53 can connect users to the platform by translating human-readable names like www.example.com into the numeric IP addresses that computers use to communicate witheach other2. References: 1: Amazon Route 53 | DNS Service | AWS; 2: What is Amazon Route 53? - Amazon Route 53

AWS CloudFormation is a service that allows developers to model and provision their AWS infrastructure in a repeatable and declarative way, using code and templates. AWS CloudFormation enables developers to define the resources they need for their development and production environments, such as compute, storage, network, and application services, and automate their creation and configuration. AWS CloudFormation also provides features such as change sets, nested stacks, and rollback triggers to help developers manage and update their infrastructure safely and efficiently12. References:

AWS CloudFormation

What is AWS CloudFormation?

The AWS Cloud Adoption Framework (AWS CAF) security perspective helps users achieve the confidentiality, integrity, and availability of their data and cloud workloads. It comprises nine capabilities that are grouped into three categories: preventive, detective, and responsive. Incident response and infrastructure protection are two of the capabilities in the responsive and preventive categories, respectively. Incident response helps users prepare for and respond to security incidents in a timely and effective manner, using tools and processes that leverage AWS features and services. Infrastructure protection helps users implement security controls and mechanisms to protect their cloud resources, such as network, compute, storage, and database, from unauthorized access or malicious attacks. References: Security perspective: compliance and assurance, AWS Cloud Adoption Framework

Amazon Neptuneis a fully managed graph database service optimized for storing and querying highly connected data. It supports popular graph models such as Property Graph and W3C's RDF, making it ideal for building graph queries for real-time fraud pattern detection and other applications that require complex relationships and data traversal.

B. Amazon DynamoDB: Incorrect, as it is a NoSQL database service that is not optimized for graph queries.

C. Amazon Timestream: Incorrect, as it is a time-series database service designed for storing and analyzing time-series data, not graph data.

D. Amazon Forecast: Incorrect, as it is a fully managed service that provides time-series forecasting capabilities, not for graph queries.

AWS Cloud References:

Amazon Neptune

AWS Workspaces is a service that provides fully managed, secure, and reliable virtual desktops for your employees. You can access your personal Windows environment on various devices, such as Android, iOS, Fire, Mac, PC, Chromebook, and Linux. You can choose from different bundles of CPU, memory, storage, and software options to suit your needs. You can also integrate AWS Workspaces with your existing Active Directory, VPN, and security policies. AWS Workspaces helps you reduce the cost and complexity of managing your desktop infrastructure, while enhancing the productivity and security of your remote workers456. References: 4: Amazon WorkSpaces Client Download, 5: VDI Desktops - Amazon WorkSpaces Family - AWS, 6: Amazon WorkSpaces

AWS re:Post is a no-cost platform for AWS users to join community groups, ask questions, find answers, and read community-generated articles about best practices. AWS re:Post is a social media platform that connects AWS users with each other and with AWS experts. Users can create posts, comment on posts, follow topics, and join groups related to AWS services, solutions, and use cases. AWS re:Post also features live event feeds, community stories, and AWS Hero profiles. AWSre:Post is a great way to learn from the AWS community, share your knowledge, and get inspired. References:

AWS re:Post

Join the Conversation

Amazon Redshiftis a fully managed data warehouse service that enables users to analyze large amounts of data quickly and cost-effectively. It is designed specifically for online analytical processing (OLAP) and is optimized for complex queries against large datasets. Amazon Redshift uses columnar storage, data compression, and massively parallel processing (MPP) to handle petabyte-scale data warehouse environments.

A. Amazon RDS: Incorrect, as it is a managed relational database service for online transaction processing (OLTP) workloads, not specifically designed for data warehousing.

B. Amazon DynamoDB: Incorrect, as it is a NoSQL database service for fast and flexible data storage, not a data warehouse.

D. Amazon Aurora: Incorrect, as it is a MySQL- and PostgreSQL-compatible relational database designed for high performance and availability for OLTP workloads, not data warehousing.

AWS Cloud References:

Amazon Redshift

AWS Organizations is the AWS service or feature that allows users to create new AWS accounts, group multiple accounts to organize workflows, and apply policies to groups of accounts. AWS Organizations enables users to centrally manage and govern their AWS environment across multiple accounts. Users can create organizational units (OUs) to group accounts based on their business needs, such as by function, project, or region. Users can also apply service control policies (SCPs) toOUs or individual accounts to define the permissions and restrictions for the AWS services and resources that they can access. AWS Organizations also offers features such as consolidated billing, account creation automation, and trusted access12. References:

AWS Organizations

What is AWS Organizations?

TheBusiness perspectiveof the AWS Cloud Adoption Framework (AWS CAF) focuses on ensuring that cloud investments align with business strategies and that the organization achieves business value from cloud adoption. It provides real-time insights into the organization's strategic goals, financial objectives, and metrics.

This perspective helps answer questions about strategy, ensuring that cloud adoption aligns with the organization's long-term business goals.

Why other options are not suitable:

A. Operations: Focuses on operating cloud environments effectively.

B. People: Focuses on human resources and organizational structure.

D. Platform: Focuses on infrastructure and architecture.

AWS Organizationsis a no-cost service that helps you centrally manage and govern your environment as you grow and scale your AWS resources. With AWS Organizations, you can create new AWS accounts, invite existing accounts to join your organization, and apply policies to groups of accounts for governance. While some features within AWS services incur additional costs, using AWS Organizations itself does not add any direct costs.

A. Amazon SageMaker: Incorrect, as it is a fully managed service for building, training, and deploying machine learning models, and it is not free.

B. AWS Config: Incorrect, as while it offers some free-tier usage, it generally incurs charges for recording and evaluating configuration changes.

D. Amazon CloudWatch: Incorrect, as certain CloudWatch metrics, custom metrics, and alarms have associated costs beyond the free tier.

AWS Cloud References:

AWS Organizations

Under the AWS shared responsibility model, AWS is responsible for the security "of" the cloud, which includes the physical infrastructure, networking, and hypervisor layer. The customer, however, is responsible for security "in" the cloud, which includes managing the security of their data, patching and maintaining their guest operating system and applications, and managing identity and access. The responsibilities of shredding disk drives, preventing packet capture at the hypervisor level, and physical monitoring are handled by AWS as part of its responsibility for security "of" the cloud.

Amazon RDS for MySQL is a fully managed, open-source cloud database service that allows you to easily operate and scale your relational database of choice, including MySQL. With Amazon RDS for MySQL, you don’t have to worry about the hardware, resiliency, and replication of your database, as Amazon RDS handles these tasks for you. Amazon RDS for MySQL also provides features such as automated backups, multi-AZ deployments, read replicas, encryption, monitoring, and more. Amazon RDS for MySQL is compatible with the MySQL Community Edition versions 5.7 and 8.0, which means that you can use the same code, applications, andtools that you already use with MySQL4567. References: 4: Hosted MySQL - Amazon RDS for MySQL - AWS, 5: Amazon RDS for MySQL - Amazon Relational Database Service, 6: Amazon RDS for MySQL —亚马逊云科技, 7: Managed SQL Database - Amazon Relational Database Service (RDS) - AWS

AWS CodeDeployis a fully managed deployment service that automates software deployments to a variety of compute services such as Amazon EC2, AWS Lambda, and on-premises servers. CodeDeploy makes it easy to release new features, helps avoid downtime during application deployment, and handles the complexity of updating applications in a scalable and reliable manner.

Why other options are not suitable:

A. Amazon AppFlow: A service to automate data flows between AWS and SaaS applications, not for application deployment.

C. AWS PrivateLink: A service to securely access AWS services from your virtual private cloud (VPC), not related to application deployments.

D. Amazon EKS Distro: A Kubernetes distribution for running Kubernetes clusters, not specifically designed for automated deployments.

AWS Lambdais a serverless compute service that allows users to run code in response to events without provisioning or managing servers. It automatically scales the application by running code only when needed, and users are charged only for the compute time consumed. This service is ideal for applications that require event-driven compute functions.

B. AWS CloudFormation: Incorrect, as it is an infrastructure-as-code service that helps users automate the deployment of AWS resources, not a serverless compute service.

C. AWS Elastic Beanstalk: Incorrect, as it is a Platform-as-a-Service (PaaS) that still involves managing servers, even though it abstracts much of the infrastructure management.

D. Elastic Load Balancing: Incorrect, as it is a service for distributing incoming application or network traffic across multiple targets, not a serverless compute service.

AWS Cloud References:

AWS Lambda

Amazon GuardDuty is a threat detection service that continuously monitors for malicious activity and unauthorized behavior to protect your AWS accounts, workloads, and data stored in Amazon S3. With the cloud, the collection and aggregation of account and network activities is simplified, but it can be time consuming for security teams to continuously analyze event log data for potential threats. With GuardDuty, you can automate anomaly detection and get actionable findings to help you protect your AWS resources4.

AWS CloudTrail is a service that enables governance, compliance, operational auditing, and risk auditing of your AWS account. With CloudTrail, you can log, continuously monitor, and retain account activity related to actions across your AWS infrastructure. You can use CloudTrail to identify who accessed an AWS service and what action was performed for a given time period. Amazon CloudWatch, AWS Security Hub, and Amazon Inspector are AWS services that provide different types of monitoring and security capabilities.

Understanding AWS Compute Optimizer: AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources. It provides recommendations to help you select the optimal configurations for your workloads.

Why AWS Compute Optimizer for Rightsizing:

Resource Recommendations: It provides specific recommendations to rightsize your EC2 instances by suggesting instance types that match your actual usage patterns.

Cost Efficiency: By optimizing instance sizes, you can reduce costs associated with over-provisioned resources.

Performance Improvement: Ensures that you are using instances that provide the required performance without over-allocating resources.

How to Implement AWS Compute Optimizer:

Enable AWS Compute Optimizer: In the AWS Management Console, navigate to AWS Compute Optimizer and enable it for your account.

Review Recommendations: After a period of monitoring, review the recommendations provided for your EC2 instances.

Implement Changes: Follow the suggestions to resize or change instance types based on the recommendations, ensuring you balance cost savings with performance needs.

AWS Compute Optimizer

Rightsizing is the cloud concept that is demonstrated by using AWS Compute Optimizer. Rightsizing is the process of adjusting the type and size of your cloud resources to match the optimal performance and cost for your workloads. AWS Compute Optimizer is a service that analyzes the configuration and utilization metrics of your AWS resources, such as Amazon EC2 instances, Amazon EBS volumes, AWS Lambda functions, and Amazon ECS services on AWS Fargate. It reports whether your resources are optimal, and generates optimization recommendations to reduce the cost and improve the performance of your workloads. AWS Compute Optimizer uses machine learning to analyze your historical utilization data and compare it with the most cost-effective AWS alternatives. You can use the recommendations toevaluate the trade-offs between cost and performance, and decide when to move or resize your resources to achieve the best results. References: Workload Rightsizing - AWS Compute Optimizer - AWS, What is AWS Compute Optimizer? - AWS Compute Optimizer

According to theAWS Shared Responsibility Model, the customer is responsible for managing the guest operating system (including patches and updates) and any applications that they run on their Amazon EC2 instances.

Why other options are not suitable:

B. Control physical access to an AWS data center: AWS is responsible for the physical security of its data centers.

C. Control access to AWS underlying hardware: AWS manages the hardware infrastructure.

D. Patch a host operating system that is deployed on Amazon S3: Amazon S3 is a managed storage service, and AWS manages the underlying infrastructure, including the operating system.

AWS Budgets and Amazon CloudWatch are two AWS services or tools that the company can use to receive a notification when a specific AWS cost threshold is reached. AWS Budgets allows users to set custom budgets to track their costs and usage, and respond quickly to alerts received from email or Amazon Simple Notification Service (Amazon SNS) notifications if they exceed their threshold. Users can create cost budgets with fixed or variable target amounts, and configure their notifications for actual or forecasted spend. Users can also set up custom actions to run automatically or through an approval process when a budget target is exceeded. For example, users could automatically apply a custom IAM policy that denies them the ability to provision additional resources within an account. Amazon CloudWatch is a service that monitors applications, responds to performance changes, optimizes resource use, and provides insights into operational health. Users can use CloudWatch to collect and track metrics, which are variables they can measure for their resources and applications. Users can create alarms that watch metrics and send notifications or automatically make changes to the resources they are monitoring when a threshold is breached. Users can use CloudWatch to monitor their AWS costs and usage by creating billing alarms that send notifications when their estimated charges exceed a specified threshold amount. Userscan also use CloudWatch to monitor their Reserved Instance (RI) or Savings Plans utilization and coverage, and receive notifications when they fall below a certain level.

 Cloud Cost And Usage Budgets - AWS Budgets, What is Amazon CloudWatch?, Creating a billing alarm - Amazon CloudWatch

AWS Control Tower is the easiest way to set up and govern a secure, multi-account AWS environment based on best practices established through AWS’s experience working with thousands of enterprises as they move to the cloud. With AWS Control Tower, builders can provision new AWS accounts in a few clicks, while you have peace of mind knowing your accounts conform to your organization’s policies. AWS Control Tower automates the setup of a baseline environment, or landing zone, that is a secure, well-architected multi-account AWS environment1. AWS Control Tower helps you apply security best practices from the AWS Well-Architected Framework to all of your AWS accounts2.

AWS IAM Access Analyzer is an AWS service that helps customers identify and review the resources in their AWS account that are shared with an external entity, such as another AWS account, a root user, an organization, or a public entity. AWS IAM Access Analyzer uses automated reasoning, a form of mathematical logic and inference, to analyze the resource-based policies in the account and generate comprehensive findings that show the access level, the source of the access, the affected resource, and the condition under which the access applies. Customers can use AWS IAM Access Analyzer to audit their shared resources, validate their access policies, and monitor any changes to the resource sharing status. References: AWSIAM Access Analyzer, Identify and review resources shared with external entities, How AWS IAM Access Analyzer works

Amazon Polly is a service that turns text into lifelike speech, allowing you to create applications that talk, and build entirely new categories of speech-enabled products. Polly’s Text-to-Speech (TTS) service uses advanced deep learning technologies to synthesize natural sounding human speech1. Amazon Polly supports dozens of languages and a wide range of natural-sounding voices. You can customizeand control the speech output by using lexicons and SSML tags. You can also store and redistribute the speech output in standard audio formats like MP3 and OGG2.

Amazon Transcribe is a service that converts speech to text, enabling you to create text transcripts from audio or video files. It can recognize multiple speakers, different languages, accents, dialects, and background noises. It can also add punctuation and formatting to the transcripts. Amazon Transcribe is useful for applications such as subtitling, captioning, transcription, and voice search.

Amazon Rekognition is a service that provides image and video analysis using computer vision and deep learning. It can detect objects, faces, text, scenes, activities, and emotions in images and videos. It can also perform face recognition, face comparison, face search, celebrity recognition, and facial analysis. Amazon Rekognition is useful for applications such as security, social media, e-commerce, and media and entertainment.

Amazon Textract is a service that extracts text and data from scanned documents using optical character recognition (OCR) and machine learning. It can identify the contents of fields in forms and tables, as well as the relationships between them. It can also preserve the layout and structure of the original document. Amazon Textract is useful for applications such as data entry, document management, compliance, and analytics.

 AWS Budgets allows you to set custom budgets that alert you when your costs or usage exceed (or are forecasted to exceed) your budgeted amount. You can also use AWS Budgets to set reservation utilization or coverage targets and receive alerts when your utilization drops below the threshold you define. AWS Budgets provides you with a comprehensive view of your cost and usage, as well as your reservation utilization and coverage1.

AWS Key Management Service (AWS KMS) is a managed service that enables you to easily encrypt your data. AWS KMS provides you with centralized control of the encryption keys used to protect your data. You can use AWS KMS to encrypt data in Amazon RDS and Amazon EBS volumes12

The AWS service that meets the requirement of providing a managed machine learning (ML) service that can recommend products based on a customer’s previous behaviors is Amazon Personalize. Amazon Personalize is a fully managed service that enables developers to create personalized recommendations for customers using their own data. Amazon Personalize can automatically process and examine the data, identify what is meaningful, select the right algorithms, and train andoptimize a personalized recommendation model2. Amazon SageMaker, Amazon Pinpoint, and Amazon Comprehend are other AWS services related to machine learning, but they do not provide the specific functionality of product recommendation.

AWS Outposts is a fully managed service that extends AWS infrastructure, AWS services, APIs, and tools to virtually any datacenter, co-location space, or on-premises facility for a truly consistent hybrid experience1. AWS Outposts enables customers to run workloads on premises using the same AWS APIs, tools, and services that they use in the cloud2. Dedicated Hosts are physical servers with EC2 instance capacity fully dedicated to a customer’s use3. Availability Zones are one or more discrete data centers, each with redundant power, networking, and connectivity, housed in separate facilities within an AWS Region4. AWS Wavelength is an AWS Infrastructure offering optimized for mobile edge computing applications.

AWS Cloud Adoption Framework (AWS CAF) is a tool that helps organizations understand how cloud adoption transforms the way they work, and it provides structure to identify and address gaps in skills and processes. Applying the AWS CAF in your organization results in an actionable plan that helps you prepare the cloud environment, enable your staff with new skills, and migrate your applications. AWS Pricing Calculator is a tool that helps you estimate the cost of AWS services for your use cases and compare the cost of different AWS service configurations. AWS Well-Architected Framework is a tool that helps you review and improve your cloud-based architectures and better understand the business impact of your design decisions. AWS Budgets is a tool that helps you plan your service usage, service costs, and instance reservations, and track how close your plan is to your budgeted amount.

 Refine operation procedures frequently is one of the design principles of the operational excellence pillar of the AWS Well-Architected Framework. It means that users should continuously review and validate their operational processes to ensure that they are effective and that staff are familiar with them. It also means that users should identify and address any gaps or issues in their processes, and incorporate feedback and lessons learned from operational events5. Perform operations as code is another design principle of the operational excellence pillar, which means that users should automate and script their operational tasks to reduce human error and enable consistent and repeatable execution. Make frequent, small, reversible changes is a design principle of the reliability pillar, which means that users should deploy changes in small increments that can be easily tested and rolled back if necessary. Structure the company to support business outcomes is a design principle of the performance efficiency pillar, which means that users should align their organizational structure and culture with their business goals and cloud strategy.

Amazon Timestream is a fast, scalable, and serverless time-series database service for IoT and other operational applications that makes it easy to store and analyze trillions of events per day up to 1,000 times faster and at as little as 1/10th thecost of relational databases1. Amazon Timestream saves you time and cost in managing the lifecycle of time series data, and its purpose-built query engine lets you access and analyze recent and historical data together with a single query1. Amazon Timestream has built-in time series analytics functions, helping you identify trends and patterns in near real time1.

The other options are not suitable for storing and analyzing trillions of events per day. Amazon Neptune is a graph database service that supports highly connected data sets. Amazon Forecast is a machine learning service that generates accurate forecasts based on historical data. Amazon DocumentDB (with MongoDB compatibility) is a document database service that supports MongoDB workloads.

1: Time Series Database – Amazon Timestream – Amazon Web Services

 Network ACLs (network access control lists) are an optional layer of security for your VPC that act as a firewall for controlling traffic in and out of one or more subnets. You can use network ACLs to allow or deny traffic based on protocol, port, or source and destination IP address. Network ACLs are stateless, meaning that they do not track the traffic that flows through them. Therefore, you must create rules for both inbound and outbound traffic.

Amazon EC2 is the AWS service that the company should use to meet its requirements of retaining full control of patch management for the guest operating systems that host its applications. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. Users can launch virtual servers, called instances, that run various operating systems, such as Linux, Windows, macOS, and more. Users have full administrative access to their instances and can install and configure any software, including patches and updates, on their instances. Users are responsible for managing the security and maintenance of their instances, including patching the guest operating system and applications. Users can also use AWS Systems Manager to automate and simplify the patching process for their EC2 instances. AWS Systems Manager is a service that helps users manage their AWS and on-premises resources atscale. Users can use AWS Systems Manager Patch Manager to scan their instances for missing patches, define patch baselines and maintenance windows, and apply patches automatically or manually across their instances. Users can also use AWS Systems Manager to monitor the patch compliance status and patching history of their instances. References: What is Amazon EC2?, AWS Systems Manager Patch Manager

 Establishing an AWS Direct Connect connection between the VPC and the company’s on-premises network is the action that the company should take to meet the requirement of having a dedicated connection between the VPC and the company’s on-premises network. AWS Direct Connect is a service that lets you establish a dedicated network connection between your network and one of the AWS Direct Connect locations. Using AWS Direct Connect, you can create a private connection between AWS and your datacenter, office, or colocation environment, which can reduce your network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections. Establishing a VPN connection between the VPC and the company’s on-premises network is an action that the company can take to create a secure and encrypted connection between the VPC and the company’s on-premises network, but it is not a dedicated connection, as it uses the public internet as the transport mechanism. Attaching an internet gateway to the VPC and using the AWS public endpoints for connectivity is an action that the company can take to enable communication between the VPC and the internet, but it is not a dedicated connection, as it also uses the public internet as the transport mechanism. Configuring Amazon Connect to provide connectivity between the VPC and the company’s on-premises network is not an action that the company can take, because Amazon Connect is a service that lets you set up and manage a contact center in the cloud, but it does not provide network connectivity between the VPC and the company’s on-premises network.

 Basing the selection of Amazon EC2 instance types on past utilization patterns is a way to right size the AWS resources and optimize the performance and cost. Using Amazon S3 Lifecycle policies to move objects that users access infrequently to lower-cost storage tiers is another way to reduce the storage costs and align them with the business value of the data. These two actions are recommended by the AWS Cost Optimization Pillar1. Switching from Amazon RDS to Amazon DynamoDB is not necessarily a cost-saving action, as it depends on the use case and the data model. Using Multi-AZ deployments for Amazon RDS is a way to improve the availability and durability of the database, but it also increases the cost. Replacing existing Amazon EC2 instanceswith AWS Elastic Beanstalk is a way to simplify the deployment and management of the application, but it does not affect the cost of the underlying EC2 instances.

The AWS service that the company should use to meet these requirements is A. AWS Snowmobile.

AWS Snowmobile is a service that allows you to migrate large amounts of data to AWS using a 45-foot long ruggedized shipping container that can store up to 100 petabytes of data. AWS Snowmobile is designed for situations where you need to move massive amounts of data to the cloud in a fast, secure, and cost-effective way.AWS Snowmobile has the least possible operational overhead because it eliminates the need to buy, configure, or manage hundreds or thousands of storage devices12.

AWS Snowball Edge is a service that allows you to migrate data to AWS using a physical device that can store up to 80 terabytes of data and has compute and storage capabilities to run applications on the device. AWS Snowball Edge is suitable for situations where you have limited or intermittent network connectivity, or where bandwidth costs are high.However, AWS Snowball Edge has more operational overhead than AWS Snowmobile because you need to request multiple devices and transfer your data onto them using the client3.

AWS Data Exchange is a service that allows you to find, subscribe to, and use third-party data in the cloud.AWS Data Exchange is not a data migration service, but rather a data marketplace that enables data providers and data consumers to exchange data sets securely and efficiently4.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.AWS DMS does not migrate file storage data, but rather supports various database platforms and engines as sources and targets5.

 The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating reliable, secure, efficient, and cost-effective systems in the cloud. The framework consists of five pillars: operational excellence, performance efficiency, reliability, security, and cost optimization. The security pillar covers the AWS shared responsibility model, which defines the security and compliance responsibilities of AWS and the customers. You can learn more about the AWS Well-Architected Framework from [this whitepaper] or [this digital course].

 Amazon S3 Glacier Deep Archive is a storage class within Amazon S3 that provides the lowest-cost, long-term data storage for data that is rarely accessed. AWS Snowball is a service that provides aphysical device for transferring large amounts of data into and out of AWS. Amazon MQ is a service that provides managed message broker service for Apache ActiveMQ. AWS Storage Gateway is a service that provides hybrid cloud storage for on-premises applications.

AWS customer carbon footprint tool is a tool that helps customers measure and manage their carbon emissions from their AWS usage. It provides data on the carbon intensity, energy consumption, and estimated emissions of AWS services across regions and time periods. It alsoenables customers to review and forecast their emissions, and compare them with industry benchmarks. AWS Health Dashboard is a service that provides personalized information about the health and performance of AWS services and resources. AWS Support Center is a service that provides access to AWS support resources, such as cases, forums, and documentation. Amazon QuickSight is a service that provides business intelligence and analytics for AWS data sources.

AWS Fargate is a serverless compute engine for containers that works with both Amazon Elastic Container Service (Amazon ECS) and Amazon Elastic Kubernetes Service (Amazon EKS). AWS Fargate allows you to run containers without having to manage servers or clusters of Amazon EC2 instances. With AWS Fargate, you only pay for the compute resources you use to run your containers, and you don’t need to worry about scaling, patching, securing, or maintaining the underlying infrastructure. AWS Fargate simplifies the deployment and management of containerized applications, and enables you to focus on building and running your applications instead of managing the infrastructure. References: AWS Fargate, What is AWS Fargate?

AWS Shield is a managed DDoS protection service that safeguards applications running on AWS from distributed denial of service (DDoS) attacks. DDoS attacks are malicious attempts to disrupt the normal functioning of a website or application by overwhelming it with a large volume of traffic from multiple sources. AWS Shield provides two tiers of protection: Standard and Advanced. AWS Shield Standard is automatically enabled for all AWS customers at no additional cost. It protects your AWS resources, such as Amazon CloudFront, AWS Global Accelerator, and Amazon Route 53, from the most common and frequently occurring network and transport layer DDoS attacks. AWS Shield Advanced is an optional paid service that provides additional protection for your AWS resources and applications, such as Amazon Elastic Compute Cloud (Amazon EC2), Elastic Load Balancing (ELB), Amazon Simple Storage Service (Amazon S3), Amazon Relational Database Service (Amazon RDS), and AWS Elastic Beanstalk. AWSShield Advanced offers enhanced detection and mitigation capabilities, 24/7 access to the AWS DDoS Response Team (DRT), real-time visibility and reporting, and cost protection against DDoS-related spikes in your AWS bill12

 AWS Shield, What is a DDOS Attack & How to Protect Your Site Against One

Changing AWS Support plans is a task that must be performed by using the AWS account root user credentials. The root user is the email address that you used to sign up for AWS. It has complete access to all AWS services and resources in the account. You should use the root user only to perform a few account and service management tasks, such as changing AWS Support plans, closing the account, or changing the account name or email address. Making changes to AWS production resources, accessing AWS Cost and Usage Reports, and granting auditors access to an AWS account for a compliance audit are tasks that can be performed by using IAM users or roles, which are entities that you create in AWS to delegate permissions to access AWS services and resources.

AWS Organizations is an AWS service that enables you to centrally manage and govern your AWS Cloud environments across multiple business units. AWS Organizations allows you tocreate an organization that consists of AWS accounts that you create or invite to join. You can group your accounts into organizational units (OUs) and apply service control policies (SCPs) to them. SCPs are a type of policy that specify the maximum permissions for the accounts in your organization, and can help you enforce compliance and security requirements. AWS Organizations also simplifies billing processes by enabling you to consolidate and pay for all member accounts with a single payment method. You can also use AWS Organizations to automate the creation of AWS accounts by using APIs or AWS CloudFormation templates. References: What is AWS Organizations?, Policy-Based Management - AWS Organizations

The AWS service that will meet this requirement is C. AWS Backup.

AWS Backup is a service that allows you to define a central data protection policy that works across AWS services for compute, storage, and database resources. You can use AWS Backup to create backup plans that specify the frequency, retention, and lifecycle of your backups, and apply them to your AWS resources using tags or resource IDs.AWS Backup supports various AWS services, such as Amazon EC2,Amazon EBS, Amazon RDS, Amazon DynamoDB, Amazon EFS, Amazon FSx, and AWS Storage Gateway12.

AWS Batch is a service that allows you to run batch computing workloads on AWS.AWS Batch does not provide a central data protection policy, but rather enables you to optimize the allocation and utilization of your compute resources3.

AWS Elastic Disaster Recovery is a service that allows you to prepare for and recover from disasters using AWS.AWS Elastic Disaster Recovery does not provide a central data protection policy, but rather helps you minimize downtime and data loss by replicating your applications and data to AWS4.

Amazon FSx is a service that provides fully managed file storage for Windows and Linux applications.Amazon FSx does not provide a central data protection policy, but rather offers features such as encryption, snapshots, backups, and replication to protect your file systems5.

Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud. Spot Instances are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and other test & development workloads. Spot Instances are well-suited for massively parallel computations, as they can provide large amounts of compute capacity at a low cost, and can be interrupted with a two-minute notice3

 AWS Secrets Manager is a service that helps you protect secrets needed to access your applications, services, and IT resources. You can use AWS Secrets Manager to store, rotate, and retrieve database credentials, API keys, and other secrets throughout their lifecycle. AWS Secrets Manager eliminates the need to hardcode sensitive information in plain text, and reduces the risk of unauthorized access or leakage. AWS Secrets Manager also integrates with other AWS services, such as AWS Lambda, Amazon RDS, and AWS CloudFormation, to simplify the management of secrets across your environment5

 Amazon QuickSight Q is a natural language query feature that lets you ask questions about your data using everyday language and get answers in seconds. You can type questions such as “What are the total sales by region?” or “How did marketing campaign A perform?” and get answers in the form of relevant visualizations, such as charts or tables. You can also use Q to drill down into details, filter data, or perform calculations. Q uses machine learning to understand your data and your intent, and provides suggestions and feedback to help you refine your questions.

AWS Elastic Beanstalk is a service that allows you to deploy and manage applications on AWS without manually creating and configuring the required resources, such as EC2 instances, load balancers, security groups, databases, and more. AWS Elastic Beanstalk automatically handles the provisioning, scaling, load balancing, health monitoring, and updating of your application, while giving you full control over the underlying AWS resources if needed. AWS Elastic Beanstalk supports a variety of platforms and languages, such as Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker. You can use the AWS Management Console, the AWS CLI, the AWS SDKs, or the AWS Elastic Beanstalk API to create and manage your applications. You can also use AWS CodeStar, AWS CodeCommit, AWS CodeBuild, AWS CodeDeploy, and AWS CodePipeline to integrate AWS Elastic Beanstalk with your development and deployment workflows12

 S3 Glacier Deep Archive is Amazon S3’s lowest-cost storage class and supports long-term retention and digital preservation for data that may be accessed once or twice in a year. It is designed forcustomers — particularly those in highly-regulated industries, such as the Financial Services, Healthcare, and Public Sectors — that retain data sets for 7-10 years or longer to meet regulatory compliance requirements. Customers can store large amounts of data at a very low cost, and reliably access it with a wait time of 12 hours3.

 Amazon ElastiCache is a fully managed in-memory data store and cache service that delivers sub-millisecond response times to applications. You can use ElastiCache as a primary data store for your applications, or as a cache to improve the performance of your existing databases. ElastiCache supports two popular open-source in-memory engines: Redis and Memcached5.

IAM roles are a way to delegate access to resources in different AWS accounts. IAM roles allow users to assume a set of permissions for a limited time without having to create or share long-term credentials. IAM roles can be used to grant cross-account access by creating a trust relationship between the accounts and specifying the permissions that the role can perform. Users can then switch to the role and access the resources in the other account using temporary security credentials provided by the role. References: Cross account resource access in IAM, IAM tutorial: Delegate access across AWS accounts using IAM roles, How to Enable Cross-Account Access to the AWS Management Console

 AWS Direct Connect is a cloud service solution that makes it easy to establish a dedicated network connection from a customer’s premises to AWS. AWS Direct Connect does not involve the public internet, and therefore can reduce network costs, increase bandwidth throughput, and provide a more consistent network experience than internet-based connections. AWS Snowball is a petabyte-scale data transport service that uses secure devices to transfer large amounts of data into and out of the AWS Cloud. AWS Storage Gateway is a hybrid cloud storage service that gives customers on-premises access to virtually unlimited cloud storage. A VPN connection enables customers to establish a secure and private connection between their network and AWS.

AWS Elastic Beanstalk is the AWS service that allows customers to deploy applications in the AWS Cloud as quickly as possible. AWS Elastic Beanstalk automatically handles the deployment, from capacity provisioning, load balancing, and auto-scaling to application health monitoring. Customers can upload their code and Elastic Beanstalk will take care of the rest1. AWS Elastic Beanstalk also minimizes the complexity that is related to the management of AWS resources. Customers can retain full control of the underlying AWS resources powering their applications and adjust the settings to suittheir needs1. Customers can also use the AWS Management Console, the AWS Command Line Interface (AWS CLI), or APIs to manage their applications1.

AWS Config is the AWS service that enables customers to assess, audit, and evaluate the configurations of their AWS resources. AWS Config continuously monitors and records the configuration changes of the resources and evaluates them against desired configurations or best practices2. AWS Config does not help customers deploy applications in the AWS Cloud as quickly as possible or minimize the complexity that is related to the management of AWS resources.

Amazon EC2 is the AWS service that provides secure, resizable compute capacity in the cloud. Customers can launch virtual servers called instances and choose from various configurations of CPU, memory, storage, and networking resources3. Amazon EC2 does not automatically handle the deployment or management of AWS resources for customers. Customers have to manually provision, configure, monitor, and scale their instances and other related resources.

Amazon Personalize is the AWS service that enables customers to create personalized recommendations for their users based on their behavior and preferences. Amazon Personalize uses machine learning to analyze data and deliver real-time recommendations4. Amazon Personalize does not help customers deploy applications in the AWS Cloud as quickly as possible or minimize the complexity that is related to the management of AWS resources.

 Amazon EFS is a fully managed service that provides scalable and elastic file storage for multiple Amazon EC2 instances. Amazon EFS supports the Network File System (NFS) protocol, which allows multiple EC2 instances to access the same file system concurrently. You can learn more about Amazon EFS from this webpage or this digital course.

 Realigning teams to focus on products and value streams, and using agile methods to rapidly iterate and evolve are tasks that the company should perform to meet the requirements of becoming more responsive to customer inquiries and feedback, according to the AWS Cloud Adoption Framework (AWS CAF). AWS CAF organizes guidance into six areas of focus, called perspectives: business, people, governance, platform, security, and operations. Each perspective is divided into capabilities, which describe the skills and processes to execute the transition effectively. The people perspective helps you prepare your organization for cloud adoption, and includes capabilities such as organizational change management, staff skills and readiness, and organizational alignment. The business perspective helps you align IT strategy with business strategy, and includes capabilities such as business case development, value proposition, and product ownership. Creating new value propositions with new products and services is a task that belongs to the business perspective, but it is not directly related to the requirement of becoming more responsive to customer inquiries and feedback. Using a new data and analytics platform to create actionable insights is a task that belongs to the platform perspective, which helps you design, implement, and optimize the architecture of the AWS environment. However, it is also not directly related to the requirement of becoming more responsive to customer inquiries and feedback. Migrating and modernizing legacy infrastructure is a task that belongs to the operations perspective, which helps you enable, run, use, operate, and recover IT workloads to the level agreed upon with your business stakeholders.However, it is also not directly related to the requirement of becoming more responsive to customer inquiries and feedback.

 The AWS shared responsibility model describes the division of responsibilities between AWS and the customer for security and compliance. AWS is responsible for the security of the cloud, which includes the hardware, software, networking, and facilities that run AWS services. The customer is responsible for security in the cloud, which includes the customer data, applications, operating systems, and network and firewall configurations. Therefore, updating the guest operating system on Amazon EC2 instances is the customer’s responsibility2

Amazon Athena is a serverless, interactive analytics service that allows users to run SQL queries on data stored in Amazon S3. It is ideal for occasional queries on large datasets, as it does not require any server provisioning, configuration, or management. Users only pay for the queries they run, based on the amount of data scanned. Amazon Athena supports various data formats, such as CSV, JSON, Parquet, ORC, and Avro, and integrates with AWS Glue Data Catalog to create and manage schemas. Amazon Athena also supports querying data from other sources, such as on-premises or other cloud systems, using data connectors1.

Amazon Redshift is a fully managed data warehouse service that allows users to run complex analytical queries on petabyte-scale data. However, it requires users to provision and maintain clusters of nodes, and pay for the storage and compute capacity they use. Amazon Redshift is more suitable for frequent and consistent queries on structured or semi-structured data2.

Amazon Kinesis is a platform for streaming data on AWS, enabling users to collect, process, and analyze real-time data. It is not designed for querying data stored in Amazon S3. Amazon Kinesis consists of four services: Kinesis Data Streams, Kinesis Data Firehose, Kinesis Data Analytics, and Kinesis Video Streams3.

Amazon RDS is a relational database service that provides six database engines: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. It simplifies database administration tasks such as backup, patching, scaling, and replication. However, it is not optimized for querying data stored in Amazon S3. Amazon RDS is more suitable for transactional workloads that require high performance and availability4.

Amazon Lightsail is an easy-to-use cloud platform that offers everything you need to build an application or website, plus a cost-effective, monthly plan1. It is designed for developers who have little or no prior cloud experience and want to launch and manage applications on AWS with minimal complexity2. Amazon SageMaker is a service for building, training, and deploying machine learning models3. AWS Lambda is a service that lets you run code without provisioning or managing servers4. Amazon Elastic Container Service (Amazon ECS) is a fully managed container orchestration service.

Reserved Instances are a pricing model that offers significant discounts on Amazon EC2 usage compared to On-Demand Instances. Reserved Instances are suitable for stateful workloads that have predictable and consistent usage patterns for a long-term period. By committing to a one-year or three-year term, customers can reduce their total cost of ownership and optimize their cloud spend. Reserved Instances also provide capacity reservation, ensuring that customers have access to the EC2 instances they need when they need them. References: AWS Pricing Calculator, Amazon EC2 Pricing, [AWS Cloud Practitioner Essentials: Module 3 - Compute in the Cloud]

AWS Organizations is a service that helps you centrally manage and govern your AWS environment. You can use AWS Organizations to create multiple accounts for different business units, and group them into organizational units (OUs) that reflect your organizational structure1. By doing so, you can separate and track costs for each business unit using the account ID as a cost allocation tag2. You can also use AWSOrganizations to apply policies and controls to your accounts, such as service control policies (SCPs) and tag policies1.

The other options are not suitable for meeting the requirements with the least operational overhead. Using a spreadsheet or a DynamoDB table to control and record costs for each business unit would require manual data entry and maintenance, which is prone to errors and inconsistencies. Using the AWS Billing console to assign owners to resources and track costs would also require manual tagging of each resource, which is time-consuming and inefficient.

1: What Is AWS Organizations? - AWS Organizations

2: Cost Tagging and Reporting with AWS Organizations | AWS Cloud Financial Management

The AWS Management Console provides a web-based graphical user interface (GUI) that allows users to manage AWS services. It is user-friendly and accessible, enabling users to control and configure resources without needing to interact with AWS through code or command-line interfaces. AWS CLI and SDKs are command-line and programming tools, respectively, and do not offer a graphical interface.

Server-side encryption is an encryption option that Amazon S3 provides to encrypt data at rest in Amazon S3. With server-side encryption, Amazon S3 encrypts an object before saving it to disk in its data centers and decrypts it when you download the objects. You have three server-side encryption options to choose from: SSE-S3, SSE-C, and SSE-KMS. SSE-S3 uses keys that are managed by Amazon S3. SSE-C allows you to manage your own encryption keys. SSE-KMS uses keys that are managed by AWS Key Management Service (AWS KMS)5.

The AWS account root user is the identity that has complete access to all AWS services and resources in the account. It is accessed by signing in with the email address and password that were used to create the account1. The root user should be protected and used only for a few account and service management tasks that require it1. Therefore, the following actions are best practices for an AWS account root user:

Enable multi-factor authentication (MFA) on the root user. MFA is a security feature that requires users to provide two or more pieces of information to authenticate themselves, such as a password and a code from a device. MFA adds an extra layer of protection for the root user credentials, which can access sensitive information and perform critical operations in the account2.

Create an IAM user with administrator privileges for daily administrative tasks, instead of using the root user. IAM is a service that helps customers manage access to AWS resources for users and groups. Customers can create IAM users and assign them permissions to perform specific tasks on specific resources. Customers can also create IAM roles and policies to delegate access to other AWS services or external entities3. By creating an IAM user with administrator privileges, customers can avoid using the root user for everyday tasks and reduce the risk of accidental or malicious changes to the account1.

Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It’s a fully managed, multi-region, multi-active, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. DynamoDB provides the least operational overhead for storing data from a recommendation engine, as it does not require any server provisioning, patching, or maintenance3

Amazon EC2 is a web service that provides secure, resizable compute capacity in the cloud. It allows you to launch virtual servers, called instances, with different configurations of CPU, memory, storage, and networking resources. AWS Compute Optimizer analyzes the specifications and utilization metrics of your Amazon EC2 instances and generates recommendations for optimal instance types that can reduce costs and improve performance. You can view the recommendations on the AWS Compute Optimizer console or the Amazon EC2 console12.

Amazon RDS, Amazon Lightsail, and AWS Step Functions are not supported by AWS Compute Optimizer. Amazon RDS is a managed relational database service that lets you set up, operate, and scale a relational database in the cloud. Amazon Lightsail is an easy-to-use cloud platform that offers everything you need to build an application or website, plus a cost-effective, monthly plan. AWS Step Functions lets you coordinate multiple AWS services into serverless workflows so you can build and update apps quickly3 .

C is correct because turning on multi-factor authentication (MFA) for added security during the login process is one of the IAM security best practices recommended by AWS. MFA adds an extra layer of protection on top of the user name and password, making it harder for attackers to access the AWS account. A is incorrect because using the account root user access keys for administrative tasks is not a good practice, as the root user has full access to all the resources in the AWS account and can cause irreparable damage if compromised. AWS recommends creating individual IAM users with the least privilege principle and using roles for applications that run on Amazon EC2 instances. B is incorrect because granting broad permissions so that all company employees can access the resources they need is not a good practice, as it increases the risk of unauthorized or accidental actions on the AWS resources. AWS recommends granting only the permissions that are required to perform a task and using groups to assign permissions to IAM users. D is incorrect because avoiding rotating credentials to prevent issues in production applications is not a good practice, as it increases the risk of credential leakage or compromise. AWS recommends rotating credentials regularly and using temporary security credentials from AWS STS when possible.

AWS Config is a service that enables you to assess, audit, and evaluate the configurations of your AWS resources. AWS Config continuously monitors and records your AWS resource configurations and allows you to automate the evaluation of recorded configurations against desired configurations. AWS Config can help you determine when an EBS volume was removed from an EC2 instance by providing a timeline of configuration changes and compliance status. AWS Trusted Advisor, Amazon Timestream, and Amazon QuickSight do not provide the same level of configuration tracking and auditing as AWS Config. Source: AWS Config

Amazon Cognito is a service that enables you to add user sign-up and sign-in features to your web and mobile applications. Amazon Cognito also supports social and enterprise identity federation, which means you can allow your users to sign in with their existing credentials from identity providers such as Google, Facebook, Apple, and Amazon. Amazon Cognito integrates with OpenID Connect (OIDC) and Security Assertion Markup Language (SAML) 2.0 protocols to facilitate the authentication and authorization process. Amazon Cognito also provides advanced security features, such as adaptive authentication, user verification, and multi-factor authentication (MFA). References: Amazon Cognito, What is Amazon Cognito?

The solution that achieves the goal of having Amazon EC2 instances share the same geographic area but use multiple independent underlying power sources is to use EC2 instances in multiple Availability Zones in the same AWS Region. An Availability Zone is a physically isolated location within an AWS Region that has its own power, cooling, and network connectivity. An AWS Region is a geographical area that consists of two or more Availability Zones. By using multiple Availability Zones, users can increase the fault tolerance and resilience of their applications, as well as reduce latency for end users3. Using EC2 instances in a single Availability Zone, multiple AWS Regions, or the same edge location and the same AWS Region would not meet the requirement of having multiple independent power sources.

Cloud fluency is a capability that belongs to the people perspective of the AWS Cloud Adoption Framework (AWS CAF). Cloud fluency is the ability of the workforce to understand the benefits, challenges, and best practices of cloud computing, and to apply them to their roles and responsibilities. Cloud fluency helps the organization to adopt a cloud mindset, culture, and skills, and to leverage the full potential of the cloud. Cloud fluency can be achieved through various methods, such as training, certification, mentoring, coaching, and hands-on experience. Cloud fluency is one of the four capabilities of the people perspective, along with culture, organizational structure, and leadership. The other three capabilities belong to different perspectives of the AWS CAF. Data architecture is a capability of the platform perspective, which helps you design and implement data solutions that meet your business and technical requirements. Event management is a capability of the operations perspective, which helps you monitor and respond to events that affect the availability, performance, and security of your cloud resources. Strategic partnership is a capability of the business perspective, which helps you establish and maintain relationships with external stakeholders, such as customers, partners, suppliers, and regulators, to create value and achieve your business goals. References: AWS Cloud Adoption Framework: People Perspective, AWS CAF - Cloud Adoption Framework - W3Schools

Amazon Aurora is a fully managed MySQL-compatible database that combines the performance and availability of traditional enterprise databases with the simplicity and cost-effectiveness of open-source databases. Amazon Aurora is part of the Amazon Relational Database Service (Amazon RDS) family, which means it inherits the benefits of a fully managed service, such as automated backups, patches, scaling, monitoring, and security. Amazon Aurora also offers up to five times the throughput of standard MySQL, as well as high availability, durability, and fault tolerance with up to 15 read replicas, cross-Region replication, and self-healing storage. Amazon Aurora is compatible with the latest versions of MySQL, as well as PostgreSQL, and supports various features and integrations that enhance its functionality and usability123

 Amazon Aurora, Amazon RDS, AWS — Amazon Aurora Overview

 The AWS service or feature that the company should use to categorize and track AWS usage cost based on business categories is cost allocation tags. Cost allocation tags are key-value pairs that users can attach to AWS resources to organize and track their AWS costs. Users can use cost allocation tags to filter and group their AWS costs by categories such as project, department, environment, or application. Users can also use cost allocation tags to generate detailed billing reports that show the costs associated with each tag3. AWS Organizations, AWS Security Hub, and AWS Cost and Usage Report are other AWS services or features that can help users with different aspects of their AWS usage, such as managing multiple accounts, monitoring security issues, or analyzing billing data, but they do not enable users to categorize and track AWS costs based on business categories.

One of the benefits of cloud computing is that it enables customers to increase speed and agility in developing, testing, and launching applications. Cloud computing provides on-demand access to a variety of IT resources, such as compute, storage, networking, databases, and analytics, without requiring upfront investments or long-term commitments. Customers can provision and release resources in minutes, scale up and down as needed, and experiment with new technologies and features. This allows customers to accelerate their innovation cycles, deliver faster time-to-market, and respond to changing customer needs and demands

 These are two scenarios that represent the concept of elasticity on AWS. Elasticity means the ability to adjust the resources and capacity of the system in response to changes in demand or environment. Scaling the number of Amazon EC2 instances based on traffic means using services such as AWS Auto Scaling or Elastic Load Balancing to add or remove instances as the traffic increases or decreases. Resizing Amazon RDS instances as business needs change means using the Amazon RDS console or API to modify the instance type, storage type, or storage size of the database as the workload grows or shrinks. You can learn more about the concept of elasticity on AWS from [this webpage] or [this digital course].

Amazon EC2 is the AWS service that requires the customer to be fully responsible for applying operating system patches. Amazon EC2 is a service that provides secure, resizable compute capacity in the cloud. Customers can launch virtual servers called instances and choose from various configurations of CPU, memory, storage, and networking resources1. Customers have full control and access to their instances, which means they are also responsible for managing and maintaining them, including applying operating system patches2. Customers can use AWS Systems Manager Patch Manager, a feature of AWS Systems Manager, to automate the process of patching their EC2 instances with both security-related updates and other types of updates3.

A company wants an AWS service to collect and process 10 TB of data locally and transfer the data to AWS. The company has intermittent connectivity.

Which AWS service will meet these requirements?

AWS Database Migration Service (AWS DMS)

AWS DataSync

AWS Backup

AWS Snowball Edge

Answer: D

The correct answer is D. AWS Snowball Edge.

AWS Snowball Edge is a physical device that can be used to collect and process data locally and then transfer it to AWS. It is designed for situations where there is limited or intermittent network connectivity, or where bandwidth costs are high.AWS Snowball Edge can store up to 80 TB of data and has compute and storage capabilities to run applications on the device1.

AWS Database Migration Service (AWS DMS) is a service that helps migrate databases to AWS.It does not collect or process data locally, nor does it work offline2.

AWS DataSync is a service that helps transfer data between on-premises storage systems and AWS storage services.It does not collect or process data locally, and it requires a network connection to work3.

AWS Backup is a service that helps automate and manage backups across AWS services. It does not collect or process data locally, nor does it transfer data to AWS.It only backs up data that is already in AWS4.

Amazon RDS is a service that makes it easy to set up, operate, and scale a relational database in the cloud. Amazon RDS supports MySQL as one of the database engines. By using Amazon RDS with a MySQL database, the company can offload the tasks of patching the database and taking backup snapshots to AWS. Amazon RDS automatically patches the database software and operating system of the database instances. Amazon RDS also automatically backs up the database and retains the backups for a user-defined retention period. The company can also restore the database to any point in time within the retention period. Deploying MySQL database server clusters onAmazon EC2 instances, using an AWS CloudFormation template to deploy MySQL database servers on Amazon EC2 instances, or migrating all the MySQL database data to Amazon S3 are not the best options to meet the requirements. These options would not automate the tasks of patching the database and taking backup snapshots, and would require more operational overhead from the company3

Amazon Personalize is an AWS service that helps developers quickly build and deploy a custom recommendation engine with real-time personalization and user segmentation1. It uses machine learning (ML) to analyze customer data and provide relevant recommendations based on their preferences, behavior, and context.Amazon Personalize can be used for various use cases such as optimizing recommendations, targeting customers more accurately, maximizing the value of unstructured text, and promoting items using business rules1.

The other options are not suitable for providing product recommendations based on customer data. Amazon Polly is a service that converts text into lifelike speech. Amazon Comprehend is a service that uses natural language processing (NLP) toextract insights from text and documents. Amazon Rekognition is a service that uses computer vision (CV) to analyze images and videos for faces, objects, scenes, and activities.

1: Cloud Products - Amazon Web Services (AWS)

2: Recommender System – Amazon Personalize – Amazon Web Services

3: Top 25 AWS Services List 2023 - GeeksforGeeks

4: AWS to Azure services comparison - Azure Architecture Center

5: The 25+ Best AWS Cost Optimization Tools (Updated 2023) - CloudZero

6: Amazon Polly – Text-to-Speech Service - AWS

7: Natural Language Processing - Amazon Comprehend - AWS

8: Image and Video Analysis - Amazon Rekognition - AWS

According to the AWS shared responsibility model, the customer is responsible for security in the cloud, which includes the tasks of configuring the AWS provided security group firewall and classifying company assets in the AWS Cloud. A security group is a virtual firewall that controls the inbound and outbound traffic for one or more EC2 instances. The customer must configure the security group rules to allow or deny traffic based on protocol, port, or source and destination IP address2 Classifying company assets in the AWS Cloud means identifying the types, categories, and sensitivity levels of the data and resources that the customer stores and processes on AWS. The customer must also determine the applicable compliance requirements and regulations that apply to their assets, and implement the appropriate security controls and measures to protect them

The AWS service that provides the ability to manage infrastructure as code is AWS CloudFormation. Infrastructure as code is a process of defining and provisioning AWS resources using code or templates, rather than manual actions or scripts. AWS CloudFormation allows you to create and update stacks of AWS resources based on predefined templates that describe the desired state and configuration of the resources. AWS CloudFormation automates and simplifies the deployment and management of AWS resources, and ensures consistency and repeatability across different environments and regions. AWS CloudFormation also supports rollback, change sets, drift detection, and nested stacks features that help you to monitor and control the changes to your infrastructure1.

 Amazon Cognito is a service that provides identity management for mobile and web applications, allowing users to sign up, sign in, and access AWS resources with different identity providers. AWS Security Hub is a service that provides a comprehensive view of the security posture of AWS accounts and resources. AWS Shield is a service that provides protection against distributed denial of service (DDoS) attacks. AWS WAF is a web application firewall that helps protect web applications from common web exploits.

The AWS Well-Architected Framework is a set of best practices and guidelines for designing and operating workloads on AWS. It helps customers achieve operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability. The framework is based on six pillars, each with its own design principles, best practices, and questions. Customers can use the framework to assess their current state, identify gaps, and implement improvements12.

AWS Support is a service that provides technical assistance, guidance, and resources for AWS customers. It offers different plans with varying levels of access to AWS experts, response times, and features3. AWS Support does not provide a comprehensive framework for operational support.

AWS Cloud Adoption Framework (AWS CAF) is a guidance tool that helps customers plan and execute their cloud migration journey. It provides a set of perspectives, capabilities, and best practices to align the business and technical aspects of cloud adoption4. AWS CAF does not focus on operational support for existing workloads on AWS.

AWS Managed Services (AMS) is a service that operates AWS infrastructure on behalf of customers. It provides a secure and compliant environment, automates commonactivities, and applies best practices for provisioning, patching, backup, recovery, and monitoring5. AMS does not provide a framework for customers to operate their own workloads on AWS.

AWS Enterprise Support plan is the highest level of support that AWS offers to its customers. One of the exclusive benefits of this plan is the access to a technical account manager (TAM), who is adedicated point of contact for guidance, advocacy, and support2. A technical project manager, a cloud support engineer, and a solutions architect are not exclusive benefits of the AWS Enterprise Support plan, as they are also available to customers with lower-tier support plans or through other AWS services or programs345.

 Amazon S3 and Amazon EBS are two AWS services that can be used to store files . Amazon S3 is an object storage service that offers high scalability, durability, availability, and performance. Amazon EBS is a block storage service that provides persistent and low-latency storage volumes for Amazon EC2 instances. AWS Lambda, Amazon SageMaker, and AWS Storage Gateway are other AWS services that have different purposes, such as serverless computing, machine learning, and hybrid cloud storage .

AWS Trusted Advisor provides checks and recommendations across various categories, including cost optimization, security, and performance. Access to all Trusted Advisor checks is available with AWS Business Support, ensuring the company can follow AWS best practices comprehensively. The Developer Support plan offers limited Trusted Advisor checks, and AWS Health Dashboard provides insights into service health but not specific best practice recommendations.

AWS DataSync is designed for large-scale data transfers, especially involving large datasets with millions of files from on-premises to AWS. It provides fast and efficient transfer capabilities, and supports a one-time migration. AWS DMS is specific to databases, while Migration Hub is for tracking migrations, and Application Migration Service is for continuous replication rather than one-time file migrations.

S3 Intelligent-Tiering is cost-effective for data with unpredictable access patterns. It automatically moves data between two access tiers (frequent and infrequent) based on access patterns, which is suitable for data accessed daily or infrequently. S3 Glacier Deep Archive is for archival data accessed infrequently, and S3 One Zone-IA is for infrequent access data stored in a single availability zone, which may not be ideal for data accessed daily.

The AWS Cloud's global infrastructure enables rapid deployment across multiple geographic regions, allowing companies to extend applications to new markets quickly. This capability to "go global in minutes" is especially valuable for businesses looking to reach customers in new countries without building data centers. Other options, like speed and agility, are advantages but do not specifically address global deployment.

AWS Storage Gateway provides on-premises applications with low-latency access to data stored in AWS by caching frequently accessed data locally. It seamlessly integrates on-premises environments with cloud storage, enabling hybrid storage solutions. AWS DataSync is for data transfer, CloudFront is a content delivery network, and AWS Backup is for backup management, not low-latency access.

Amazon Athena Overview:

Amazon Athena is a serverless query service that allows users to analyze data in S3 using standard SQL.

It is commonly used to query AWS Cost and Usage Reports stored in S3.

How It Works for Cost Reports:

Cost and Usage Reports are delivered in a structured format to an S3 bucket.

Athena can query these reports without requiring additional ETL processes.

Why Other Options Are Incorrect:

A. Amazon OpenSearch Service:Designed for search and log analytics, not querying structured data.

C. Amazon Aurora:A relational database service, unsuitable for querying S3 data directly.

D. AWS Glue:Used for ETL tasks but not directly for querying.

Amazon RDS (Relational Database Service) supports SQL Server and other relational databases while handling administrative tasks such as backups, patching, monitoring, and scaling. This allows the company to migrate its SQL Server database without managing the infrastructure manually. Amazon EC2for SQL Server would require more administrative overhead, as the company would be responsible for the maintenance. Amazon DynamoDB and Aurora do not support SQL Server directly.

Amazon Rekognition provides machine learning capabilities to analyze images and videos, enabling the detection of objects, people, text, and scenes. It is designed specifically for image and video analysis, making it suitable for various use cases like facial recognition and content moderation. Other services like Amazon Connect, Lightsail, and Personalize do not offer image or video analysis capabilities.

Amazon S3 offers virtually unlimited storage, allowing customers to store and retrieve any amount of data. There are no practical limits to the total volume of data that can be stored in S3, making it suitable for applications that require vast amounts of storage. The options of 10 PB, 50 PB, and 100 PB are incorrect as they do not reflect the actual scale of S3.

AWS IAM Identity Center (formerly AWS Single Sign-On) provides centralized management of user access to multiple AWS accounts within an organization in AWS Organizations. It allows users to log in once and gain access to all assigned accounts without managing separate logins for each account. Amazon Cognito is generally used for application-level user management and authentication, not for managing access across AWS accounts.

AWS Outposts extend AWS infrastructure and services to on-premises locations, providing low-latency access to AWS resources and ensuring data residency. This service is suitable for hybrid environments that require the same AWS services and infrastructure to be available locally. Wavelength, Transit Gateway, and Ground Station do not specifically address low-latency access to on-premises resources or data residency.

AWS Config enables users to assess, audit, and evaluate the configurations of AWS resources. It provides information that can be used by external auditors to ensure compliance with various regulatory requirements by tracking changes and maintaining configuration history. Amazon Cognito, FSx, and Inspector do not provide detailed configuration tracking for audit purposes.

AWS Fargate and Amazon S3 are both serverless services. Fargate allows users to run containers without managing the underlying infrastructure, while S3 provides object storage without the need for provisioning or managing servers. Amazon EC2, Amazon Managed Streaming for Apache Kafka, and Amazon EMR involve server management to varying degrees and are not serverless by nature.

One of the main advantages of cloud computing is the ability to trade fixed capital expenditures for variable operating expenses. By moving to the AWS Cloud, the company pays only for the resources it uses on a per-usage basis, reducing the need for large upfront investments in data center infrastructure. This benefit allows for more flexible and cost-effective spending based on actual usage. Other options, such as increased speed and agility or global reach, are also cloud benefits but do not specifically address the shift from fixed to variable expenses.

AWS Direct Connect provides a dedicated private network connection from on-premises data centers directly to the AWS Cloud, bypassing the public internet. This setup is ideal for reducing network costs, increasing bandwidth throughput, and providing a more consistent network experience compared to standard internet connections. Other services, such as Amazon VPC, relate to networking but do not establish a private network connection from on-premises to AWS.

AWS IAM Identity Center provides centralized access management across multiple AWS accounts, enabling organizations to manage employee access efficiently. It is specifically designed for this purpose within AWS Organizations. AWS STS provides temporary credentials but does not manage multiple account access centrally, while IAM Access Analyzer and Secrets Manager serve different purposes related to access and secret management.

Under the AWS shared responsibility model, AWS is responsible for managing the underlying infrastructure, including operating system-level updates on managed services like Amazon RDS. Customers are responsible for managing the database instance and configurations, but AWS handles OS updates for the infrastructure supporting RDS.

Amazon RDS provides a managed database service that supports MariaDB with minimal operational overhead. It handles routine database tasks such as backups, patching, and scaling, reducing the burden on users. Amazon Neptune and DynamoDB are not compatible with MariaDB, and Amazon S3 is not a relational database service.

AWS Organizations Overview:

AWS Organizations allows a company to manage multiple AWS accounts under a single organization.

Through the feature of consolidated billing, a company can receive a single bill for all linked accounts.

Key Features of Consolidated Billing in AWS Organizations:

Aggregates usage across accounts to take advantage of volume pricing discounts.

Provides detailed cost reports for individual linked accounts.

Simplifies payment processing by centralizing billing.

Why Other Options Are Incorrect:

A. AWS Billing and Cost Management console:Used for managing budgets and payments but does not set up consolidated billing.

C. AWS Cost and Usage Report:Provides detailed cost and usage reports but does not set up consolidated billing.

D. AWS Systems Manager:Focuses on operational management, not billing.

A VPC endpoint enables private connections between an Amazon VPC and AWS services, like Amazon S3, without requiring internet access. This allows secure access to S3 from an EC2 instance within the same VPC, reducing latency and improving security. VPN connections and NAT gateways do not eliminate internet traffic, and an internet gateway would expose the VPC to the public internet.

Amazon S3 Glacier Flexible Retrieval is optimized for storing infrequently accessed data at a very low cost, making it suitable for data archiving and long-term backups. It provides flexible retrieval options for archived data. Other services like FSx for Lustre, EBS, and EFS are more suited for frequently accessed data and higher-performance use cases, not archival storage.

On-Demand Instances are most cost-effective for short-term, steady, and unpredictable workloads. Using them for a one-month testing period allows flexibility without a long-term commitment. For long-term workloads (like a year or more), Reserved Instances or Savings Plans would be more cost-effective. Spot Instances are better for interruptible, flexible workloads.

AWS Artifact provides on-demand access to AWS compliance reports and security documentation. It is a self-service portal where customers can download documents like SOC reports, ISO certifications, and other compliance-related materials necessary for meeting regulatory requirements. AWS Config and Trusted Advisor offer security assessments and compliance monitoring, but they do not provide direct access to compliance reports.