Terraform-Associate-003 Sample Questions Answers

Terraformis written in Go, but it isdistributed as a standalone binaryanddoes notrequire the Go runtime.

Users do not need to install Go to run Terraform.

Official Terraform Documentation Reference:

Terraform Install Guide

Outside of the required_providers block, Terraform configurations can refer to providers by either their local names or their source addresses. The local name is a short name that can be used throughout the configuration, while the source address is a global identifier for the provider in the format registry.terraform.io/namespace/type. For example, you can use either aws or registry.terraform.io/hashicorp/aws to refer to the AWS provider.

terraform initretrieves and caches providers and modules, butonly for explicitly declared modulesin the configuration.

If a module isadded or updated, terraform init needs to be re-run to download the new version.

Terraform does not automatically cache all remote modules unless they are explicitly referenced in the configuration.

Official Terraform Documentation Reference:

terraform init - HashiCorp Documentation

None of the above methods prevent credentials from being stored in the state file. Terraform stores the provider configuration in the state file, which may include sensitive information such as credentials. This is a potential security risk and should be avoided if possible. To prevent credentials from being stored in the state file, you can use one of the following methods:

Use environment variables to pass credentials to the provider. This way, the credentials are not part of the provider configuration and are not stored in the state file. However, this method may not work for some providers that require credentials to be set in the provider block.

Use dynamic credentials to authenticate with your cloud provider. This way, Terraform Cloud or Enterprise will request temporary credentials from your cloud provider for each run and use them to provision your resources. The credentials are not stored in the state file and are revoked after the run is completed. This method is supported for AWS, Google Cloud Platform, Azure, and Vault. References = : [Sensitive Values in State] : Authenticate providers with dynamic credentials

The best way to automatically and proactively enforce the security control that new AWS S3 buckets must be private and encrypted at rest is with a Sentinel policy, which runs before every apply. Sentinel is a policy as code framework that allows you to define and enforce logic-based policies for your infrastructure. Terraform Cloud supports Sentinel policies for all paid tiers, and can run them before any terraform plan or terraform apply operation. You can write a Sentinel policy that checks the configuration of the S3 buckets and ensures that they have the proper settings for privacy and encryption, and then assign the policy to your Terraform Cloud organization or workspace. This way, Terraform Cloud will prevent any changes that violate the policy from being applied. References = [Sentinel Policy Framework], [Manage Policies in Terraform Cloud], [Write and Test Sentinel Policies for Terraform]

The terraform state show command allows you to access all of the attributes and details of a resource managed by Terraform. You can use the resource address (e.g. provider_type.name) as an argument to show the information about a specific resource. The terraform state list command only shows the list of resources in the state, not their attributes. The terraform get command downloads and installs modules needed for the configuration. It does not show any information about resources. References = [Command: state show] and [Command: state list]

From the Terraform Output Docs – Sensitive:

"Marking an output as sensitive prevents Terraform from showing its value in the CLI output,but it will still bestored in the state file."

Thus, it protects display, not storage.

The key principle of infrastructure as code that is not listed among the options is golden images. Golden images are pre-configured, ready-to-use virtual machine images that contain a specific set of software and configuration. They are often used to create multiple identical instances of the same environment, such as for testing or production. However, golden images are not a principle of infrastructure as code, but rather a technique that can be used with or without infrastructure as code. The other options are all key principles of infrastructure as code, as explained below:

Self-describing infrastructure: This means that the infrastructure is defined in code that describes its desired state, rather than in scripts that describe the steps to create it. This makes the infrastructure easier to understand, maintain, and reproduce.

Idempotence: This means that applying the same infrastructure code multiple times will always result in the same state, regardless of the initial state. This makes the infrastructure consistent and predictable, and avoids errors or conflicts caused by repeated actions.

Versioned infrastructure: This means that the infrastructure code is stored in a version control system, such as Git, that tracks the changes and history of the code. This makes the infrastructure code reusable, auditable, and collaborative, and enables practices such as branching, merging, and rollback. References = [Introduction to Infrastructure as Code with Terraform], [Infrastructure as Code in a Private or Public Cloud]

Variables declared within a module are only accessible within that module, unless they are explicitly exposed as output values1.

These are some of the ways that a ticket-based system can slow down infrastructure provisioning and limit the ability to scale, as they introduce delays, bottlenecks, and manual interventions in the process of creating and modifying infrastructure.

HashiCorp Configuration Language (HCL) does not support user-defined functions. You can only use the built-in functions that are provided by the language. The built-in functions allow you to perform various operations and transformations on values within expressions. The general syntax for function calls is a function name followed by comma-separated arguments in parentheses, such as max(5, 12, 9). You can find the documentation for all of the available built-in functions in the Terraform Registry orthe Packer Documentation, depending on which tool you are using. References = : Functions - Configuration Language | Terraform : Functions - Configuration Language | Packer

Terraform allows usingprivate module sourceshosted in:

C (Internally hosted VCS platforms, e.g., GitLab, Bitbucket, GitHub Enterprise)✅

D (Private GitHub repositories)✅

A (Public GitHub repository)❌–GitHubis supported, but apublic repo is not "private".

B (Public Terraform Registry)❌–The public registryis not a private source.

Official Terraform Documentation Reference:

Terraform Module Sources

The terraform taint command marks a resource as tainted, which means it will be destroyed and recreated on the next apply. This way, you can replace the VM instance without affecting the database or other resources. References = [Terraform Taint]

Terraform creates the .terraform.lock.hcl file after the first terraform init command. This lock file ensures that the dependencies for your project are consistent across different runs by locking the versions of the providers and modules used.

The terraform import command is not part of any other Terraform workflow. It must be explicitly invoked by the user with the appropriate arguments, such as the resource address and the ID of the existing infrastructure to import. References = [Importing Infrastructure]

If you update the version constraint in your Terraform configuration, Terraform will update your lock file the next time you run terraform init3. This will ensure that you use the same provider versions across different machines and runs.

When the state file is locked, operations that modify or depend on the state (liketerraform apply,terraform destroy, andterraform state list) are blocked.terraform fmtonly formats the configuration files and does not interact with the state, so it is allowed.

This is the backend that the Terraform CLI uses by default, unless you specify a different backend in your configuration. The local backend stores the state file in a local file named terraform.tfstate, which can be used to track and manage the state of your infrastructure.

This is the method for sharing Terraform configurations that fulfills the following criteria:

Keeps the configurations confidential within your organization

Supports Terraform’s semantic version constraints

Provides a browsable directory

The Terraform Cloud private registry is a feature of Terraform Cloud that allows you to host and manage your own modules within your organization, and use them in your Terraform configurations with versioning and access control.

You can develop a custom provider to manage its resources using Terraform, as Terraform is an extensible tool that allows you to write your own plugins in Go language. You can also publish your custom provider to the Terraform Registry or use it privately.

Sentinel policies are checked after the plan stage of a Terraform run, but before it can be confirmed or the terraform apply is executed3. This allows you to enforce rules on your infrastructure before it is created or modified.

This is not a valid backend for Terraform, as it does not support locking or versioning of state files4. The other options are valid backends that can store state files in a central location.

This is what will happen if you run terraform destroy without any flags, as it will attempt to delete all the resources that are associated with your current working directory or workspace. You can use the -target flag to specify a particular resource that you want to destroy.

You must initialize your working directory before running terraform validate, as it will ensure that all the required plugins and modules are installed and configured properly. If you skip this step, you may encounter errors or inconsistencies when validating your configuration files.

This is what determines how Terraform creates, updates, or deletes resources, as it is responsible for understanding API interactions with some service and exposing resources and data sources based on that API.

You cannot access state stored with the local backend by using the terraform_remote_state data source. The terraform_remote_state data source is used to retrieve the root module output values from some other Terraform configuration using the latest state snapshot from the remote backend. It requires a backend that supports remote state storage, such as S3, Consul, AzureRM, or GCS. The local backend stores the state file locally on the filesystem, which terraform_remote_state cannot access.

terraform validateonlychecks the configuration’s syntax and internal consistency—itdoes notinteract with provider APIs or check if the infrastructure settings are correct.

It ensures that the Terraform code is syntactically correct and follows proper HCL structure.

However, it doesnotverify if resources are valid according to the provider API or if the credentials are correct.

To verify actual infrastructure settings, use terraform plan, which interacts with the provider APIs.

Official Terraform Documentation Reference:

terraform validate - HashiCorp Documentation

To import existing resources into Terraform, you need to do two things1:

Write a resource configuration block for each resource, matching the type and name used in your state file.

Run terraform import for each resource, specifying its address and ID. There is no such command as terraform Import-gcp, and provisioning new VMs with the same names will not import them into Terraform.

You do not need to use different Terraform commands depending on the cloud provider you use. Terraform commands are consistent across different providers, as they operate on the Terraform configuration files and state files, not on the provider APIs directly.

From Terraform CLI Overview:

"Terraform provides a consistent CLI workflow regardless of which cloud or service you’re managing."

Thesame Terraform commandswork across all providers via plugins.

Terraform Cloud provides features like remote state storage and a web-based user interface for managing your Terraform runs. While it offers robust infrastructure as code capabilities, automatic backups of configuration and state are not directly provided by Terraform Cloud; instead, the state is stored remotely and secured.

Terraform configuration can import modules from various sources, not only from the public registry. Modules can be sourced from local file paths, Git repositories, HTTP URLs, Mercurial repositories, S3 buckets, and GCS buckets. Terraform supports a number of common conventions and syntaxes for specifying module sources, as documented in the [Module Sources] page. References = [Module Sources]

Automated Visualization: HCP Terraform providesvisualization toolsthat map infrastructure configurations, helping users manage complex architectures.

Remote State Storage: Terraform Cloud offersremote state management, essential for teams working collaboratively on shared infrastructure, ensuring consistency and avoiding state conflicts.

For more information, consultTerraform Cloud and HCP Terraform featuresin the official documentation.

A (✅Correct)– Providers allow Terraform tointeract with APIsof cloud/on-premises services.

B (✅Correct)– Some Terraform providers can provisionon-premises infrastructure, such as VMware, OpenStack, etc.

C (❌Incorrect)– This describesTerraform Workspaces, not providers.

D (✅Correct)– Terraform providers allow provisioning ofpublic cloud resources(AWS, Azure, GCP, etc.).

E (❌Incorrect)– Enforcing security and compliance policies isnot a direct provider function, but it can be done using Sentinel or other policy-as-code tools.

Official Terraform Documentation Reference:

Terraform Providers

terraform initdoes not create a main.tf file.

Itinitializesthe Terraform working directory, downloads provider plugins, and configures the backend.

Terraform does not generate an example configuration (main.tf); users must create it manually.

Official Terraform Documentation Reference:

terraform init - HashiCorp Documentation

The provider for theaws_vpcresource isaws, as the resource type begins withaws_, which denotes that it is managed by the AWS provider.

Infrastructure as code (IaC) is a way of managing and provisioning cloud infrastructure using programming techniques instead of manual processes1. IaC has many advantages over using a graphical user interface (GUI) for provisioning infrastructure, such as:

•Versioning: IaC allows you to store your infrastructure configuration in a version control system, such as Git, and track changes over time. This enables you to roll back to previous versions, compare differences, and collaborate with other developers2.

•Reusability: IaC allows you to create reusable modules and templates that can be applied to different environments, such as development, testing, and production. This reduces duplication, improves consistency, and speeds up deployment3.

•Sharing: IaC allows you to share your infrastructure configuration with other developers, teams, or organizations, and leverage existing code from open source repositories or registries. This fosters best practices, innovation, and standardization4.

•Risk reduction: IaC reduces the risk of human error, configuration drift, and security breaches that can occur when provisioning infrastructure manually or using a GUI. IaC also enables you to perform automated testing, validation, and compliance checks on your infrastructure before deploying it5.

References =

•1: What is Infrastructure as Code? Explained for Beginners - freeCodeCamp.org

•2: The benefits of Infrastructure as Code - Microsoft Community Hub

•3: Infrastructure as Code : Best Practices, Benefits & Examples - Spacelift

•4: 5 Benefits of Infrastructure as Code (IaC) for Modern Businesses in the Cloud

•5: The 7 Biggest Benefits of Infrastructure as Code - DuploCloud

Terraform validate reports configuration consistency errors, such as declaring a resource identifier more than once. This means that the same resource type and name combination is used for multiple resource blocks, which is not allowed in Terraform. For example, resource "aws_instance" "example" {...} cannot be used more than once in the same configuration. Terraform validate does not report errors related to module versions, state differences, or formatting issues, as these are not relevant for checking the configuration syntax and structure. References = [Validate Configuration], [Resource Syntax]

This is the best way to delete the newly-created VM with Terraform, as it will only affect the resource that was created by your configuration and state file. The other options are either incorrect or inefficient.

To make Terraform's logging more verbose for troubleshooting purposes, you must configure the TF_LOG environment variable. This variable controls the level of logging and can be set to TRACE, DEBUG, INFO, WARN, or ERROR, with TRACE providing the most verbose output.References = Detailed debugging instructions and the use of environment variables like TF_LOG for increasing verbosity are part of Terraform's standard debugging practices

This is the meta-argument that you must include in any non-default provider configurations, as it allows you to give a friendly name to the configuration and reference it in other parts of your code. The other options are either invalid or irrelevant for this purpose.

This will enable additional logging messages to find out from which paths Terraform is loading providers referenced in your Terraform configuration files, as it will set the log level to TRACE, which is the most verbose and detailed level.

This is the correct way to reference the volume IDs associated with the ebs_block_device blocks in this configuration, using the splat expression syntax. The other options are either invalid or incomplete.

The Terraform binary version and provider versions do not have to match each other in a single configuration. Terraform allows you to specify provider version constraints in the configuration’s terraform block, which can be different from the Terraform binary version1. Terraform will use the newest version of the provider that meets the configuration’s version constraints2. You can also use the dependency lock file to ensure Terraform is using the correct provider version3. References =

•1: Providers - Configuration Language | Terraform | HashiCorp Developer

•2: Multiple provider versions with Terraform - Stack Overflow

•3: Lock and upgrade provider versions | Terraform - HashiCorp Developer

This is not a responsibility of a Terraform provider, as it does not make sense grammatically or logically. A Terraform provider is responsible for exposing resources and data sources based on an API, managing actions to take based on resource differences, and understanding API interactions with some service.

You should run terraform fmt to rewrite all Terraform configurations within the current working directory to conform to Terraform-style conventions. This command applies a subset of the Terraform language style conventions, along with other minor adjustments for readability. It is recommended to use this command to ensure consistency of style across different Terraform codebases. The command is optional, opinionated, and has no customization options, but it can help you and your team understand the code more quickly and easily. References = : Command: fmt : Using Terraform fmt Command to Format Your Terraform Code

The -replace flag is used with the terraform apply command when there is a need to explicitly force Terraform to destroy and then recreate a specific resource during the next apply. This can be necessary in situations where a simple update is insufficient or when a resource must be re-provisioned to pick up certain changes.

The two steps that are required to provision new infrastructure in the Terraform workflow are init and apply. The terraform init command initializes a working directory containing Terraform configuration files. It downloads and installs the provider plugins that are needed for the configuration, and prepares the backend for storing the state. The terraform apply command applies the changes required to reach the desired state of the configuration, as described by the resource definitions in the configuration files. It shows a plan of the proposed changes and asks for confirmation before making any changes to the infrastructure. References = [The Core Terraform Workflow], [Initialize a Terraform working directory with init], [Apply Terraform Configuration with apply]

This is how Terraform manages most dependencies between resources, by using the references between them in the configuration files. For example, if resource A depends on resource B, Terraform will create resource B first and then pass its attributes to resource A.

From the official Terraform Type Constraints Documentation:

The object({ name = string, age = number }) type expects:

name to be aquoted string, e.g. "John"

age to be anumber, e.g. 52

Option Bsatisfies both:

{

name = "John" #✅Valid string

age = 52 #✅Valid number

}

Let's analyze the incorrect ones:

❌Option A: "fifty two" is not a valid number.

❌Option C: John is unquoted (invalid string), and "fifty two" is not a number.

❌Option D: name = John is not quoted, making it an invalid string in HCL.

Terraform is strict about type and formatting. Stringsmust be quoted, and numbersmust be numeric literals.

This is the Terraform style convention for indenting a nesting level compared to the one above it. The other options are not consistent with the Terraform style guide.

The terraform fmt command is used to rewrite Terraform configuration files to a canonical format and style. This command applies a subset of the Terraform language style conventions, along with other minor adjustments for readability. Running this command on your configuration files before committing them to source control can help ensure consistency of style between different Terraform codebases, and can also make diffs easier to read. You can also use the -check and -diff options to check if the files are formatted and display the formatting changes respectively2. Running the terraform fmt command during the code linting phase of your CI/CD process can help automate this process and enforce the formatting standards for your team. References = [Command: fmt]2

In the given Terraform configuration snippet:

resource "aws_vpc" "main" {

name = "test"

}

The provider for the resource aws_vpc is aws. The provider is specified by the prefix of the resource type. In this case, aws_vpc indicates that the resource type vpc is provided by the aws provider.

This is the workflow for deploying new infrastructure with Terraform, as it will create a plan and apply it to the target environment. The other options are either incorrect or incomplete.

This command will initialize the new backend and prompt you to migrate the existing state file to the new location4. The other commands are not relevant for this task.

In Terraform, theresource nameis the second argument in the resource block.

The structure of a resource block is:

resource "provider_resource_type" "resource_name" {

# Configuration settings

}

Here, the provider type isgoogle_compute_instance, and theresource nameis "main".

The name "test" is simply the value assigned to the name attribute, which is unrelated to the Terraform resource name.

"google" and "compute_instance" are part of the provider and resource type, not the resource name.

Official Terraform Documentation Reference:

Terraform Resource Documentation

This is the recommended way to use a remote backend that needs authentication, as it allows you to provide the credentials via environment variables, command-line arguments, or interactive prompts, without storing them in the Terraform configuration files.

The terraform plan command is used to create an execution plan. It allows you to see what actions Terraform will take to reach the desired state defined in your configuration files. It evaluates the current state and configuration, showing a detailed outline of the resources that will be created, updated, or destroyed. This is a critical step in the development process as it helps you verify that the changes you are about to apply will perform as expected, without actually modifying any state or infrastructure.

You can install third party plugins using terraform init, as long as you specify the plugin directory in your configuration or as a command-line argument. You can also use the terraform providers mirror command to create a local mirror of providers from any source.

The required_providers block is used to specify the provider versions that the configuration can work with. The version argument accepts a version constraint string, which must be enclosed in double quotes. The version constraint string can use operators such as >=, ~>, =, etc. to specify the minimum, maximum, or exact version of the provider. For example, version = ">= 3.1" means that theconfiguration can work with any provider version that is 3.1 or higher. References = [Provider Requirements] and [Version Constraints]

The terraform validate command is used to check for syntax errors and internal consistency within Terraform configurations, such as whether all required arguments are specified. It does not check for indentation styles, missing variable values (as variables might not be defined at validation time), or state file consistency with the current infrastructure. Therefore, none of the provided options are correct in the context of what terraform validate reports.References = Terraform's official documentation details the purpose and function of the terraform validate command, specifying that it focuses on syntaxand consistency checks within Terraform configurations themselves, not on external factors like the state file or infrastructure state. Direct references from the HashiCorp Terraform Associate (003) study materials to this specific detail were not found in the provided files.

This is what you must do to successfully retrieve this value from your networking module, as it will expose the attribute as an output value that can be referenced by other modules or resources. The error message indicates that the networking module does not have an output value named vnet_id, which causes the reference to fail.

The error messageindicates an authentication issue (403 - Access Denied), which requiresdebugging Terraform logs.

Setting TF_LOG=DEBUG enablesdetailed logs, providing insights into API requests, state loading, and authentication errors.

Terraformdoes not log errors in /var/log/terraform.log or syslog, making optionsC and D incorrect.

A (terraform login)is only relevant forTerraform Cloud, but this error appears to be related toprovider authentication.

Official Terraform Documentation Reference:

Debugging Terraform

Terraform can manage resource dependencies implicitly or explicitly. Implicit dependencies are created when a resource references another resource or data source in its arguments. Terraform can infer the dependency from the reference and create or destroy the resources in the correct order. Explicit dependencies are created when you use the depends_on argument to specify that a resource depends on another resource or module. This is useful when Terraform cannot infer the dependency from the configuration or when you need to create a dependency for some reason outside of Terraform’s scope. References = : Create resource dependencies : Terraform Resource Dependencies Explained

The terraform refresh-only command is intended to detect state file drift. This command synchronizes the state file with the actual infrastructure, updating the state to reflect any changes that have occurred outside of Terraform.

From terraform plan -refresh-only:

"Use this to detectdrift, i.e., changes made outside of Terraform."

It compares actual infrastructure to what's recorded in the state file.