1z0-1105-23 Sample Questions Answers

These are two key characteristics of Oracle Autonomous Database. According to the Oracle documentation10, “Autonomous Database provides an easy-to-use, fully autonomous database that scales elastically, delivers fast query performance, and requires no database administration.” As a service, Autonomous Database handles all the tasks related to provisioning, patching, upgrading, scaling, backup, and recovery of the database, so that customers do not need to manage anything. Additionally, Autonomous Database offers lowercost compared to other cloud database services by providing features such as auto scaling, performance optimization, and pay-per-use pricing model.

These two statements are true regarding MySQL Database Service HeatWave. According to the Oracle website3, “HeatWave is a high-performance in-memory query accelerator for MySQL Database Service on Oracle Cloud Infrastructure. It is designed to accelerate analytics workloads (OLAP) and increase the performance of your MySQL databases by orders of magnitude.” Additionally, according to the Oracle website4, “HeatWave uses machine learning to automate operations, increasing DBA productivity and reducing costs. HeatWave AutoML enables developers and data analysts to build, train, deploy, and explain machine learning models in MySQL HeatWave without moving data to a separate machine learning service.”

Data Labeling is not a built-in tool provided by Autonomous Database. According to the Oracle documentation4, “Autonomous Database includes built-in tools that you can enable and disable when you provision or clone a database, or at any time for an existing database.” The list of built-in tools includes Oracle APEX, Database Actions, Graph Studio, Oracle ML User Interface, Data Transforms, Web Access (ORDS), MongoDB API, and SODA Drivers. Data Labeling is not among these tools.

Focuses on creation of indexes and optimized for response time are two characteristics of Autonomous Transaction Processing (ATP). According to the Oracle documentation,“Autonomous Transaction Processing is a database service that is optimized for transaction processing or mixed workloads. It delivers the best experience for mission-critical applications that require high performance, high concurrency, and low latency. Autonomous Transaction Processing automatically creates indexes, materialized views, and partitions based on the workload.” Additionally, according to the Oracle documentation, “Autonomous Transaction Processing is optimized for response time. It uses a combination of caching, in-memory columnar format, and result set caching to deliver fast response times.”

Assess is the security control area that determines if there is sensitive data in a system. According to the Oracle documentation2, “The Assess security control area includes activities that help you identify and classify sensitive data, assess your security posture, and monitor compliance with security standards and regulations.”

The goal of scale out high availability can be achieved by provisioning nodes with Real Application Clusters (RAC). According to the Oracle documentation6, “Oracle Real Application Clusters (RAC) enables you to scale out your database by adding nodes as needed without changing your application code. RAC also provides high availability by automatically recovering from node failures.” RAC allows multiple instances of Oracle Database to run on different servers while accessing a shared set of data files.

This statement is true about MySQL Database Service. According to the Oracle documentation3, “MySQL Database Service is a fully managed Oracle Cloud Infrastructure native service, developed, managed, and supported by the MySQL team in Oracle. Oracle automates tasks such as backup and recovery, and database and operating system patching. You are responsible solely for managing your data, schema designs, and access policies.”

This statement is true about how the Converged Database helps to access data using an API. According to the Oracle documentation5, “Oracle REST Data Services (ORDS) makes it easy to develop modern REST interfaces for relational data in the Oracle Database and the Oracle Database 18c JSON Document Store. A mid-tier Java application, ORDS maps HTTP(S) verbs (GET, POST, PUT, DELETE, etc.) to database transactions and returns any results formatted using JSON.” ORDS can automatically generate RESTful services for tables and views in the database or expose custom REST APIs using SQL or PL/SQL.

Use graphical interfaces and configuration for building web applications is a main feature of APEX’s low code platform. As mentioned earlier, according to the Oracle website, “Oracle APEX is a low-code development platform that enables you to build scalable, secure enterprise apps with world-class features that can be deployed anywhere. With APEX, you can create modern web apps with minimal coding using intuitive graphical interfaces and declarative configuration.”

These are two statements that are true when deciding which Oracle Cloud Infrastructure (OCI) region to register an Exadata Cloud@Customer infrastructure in. According to the Oracle documentation5, “When you register an Exadata Cloud@Customer infrastructure in an OCI region, consider any business policies or regulations that preclude the use of a particular region.” This means that you should be aware of any legal or compliance requirements that might limit your choice of OCI regions for Exadata Cloud@Customer. According to the Oracle documentation6, “Consider the physical proximity of the region you register the infrastructure in to your data center. The closer they are physically located, the lower the network latency between them.” This means that you should also consider the network performance and availability when choosing an OCI region for Exadata Cloud@Customer.