Free Oracle 1z0-1105-23 Practice Exam with Questions & Answers

This statement is true about moving VM DB systems from one compartment to another. According to the Oracle documentation3, “To move resources between compartments, resource users must have sufficient access permissions on the compartment that the resourceis being moved to, as well as the current compartment.” The documentation also provides a step-by-step guide on how to move a DB system to another compartment using the Oracle Cloud Infrastructure Console.

 Rapidly developing, customizing, and delivering secure applications and developing responsive web apps are two main benefits of Oracle APEX. According to the Oracle website2, “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.” Additionally, according to the Oracle website3, “Oracle APEX enables developers to build modern, mobile-ready applications out of the box with minimal effort.”

OCI Data Flow is the Lakehouse service that you should use for serverless Spark processing. According to the Oracle documentation, “Oracle Cloud Infrastructure Data Flow is a fully managed big data service that lets you run Apache Spark applications with no infrastructure to deploy or manage. Data Flow lets you create, run, and manage Apache Spark applications with minimal coding and no infrastructure provisioning or management.”

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.”

 Exadata Cloud Service and Autonomous Database are two target database environments that provide both high availability (HA) and disaster recovery (DR) options in the cloud. Exadata Cloud Service is a fully managed Oracle Database service that runs on Exadata infrastructure in the cloud. It offers high performance, scalability, availability, security, and reliability for all types of database workloads. It also supports various HA and DR options, such as Oracle Real Application Clusters (RAC), Oracle Data Guard, Oracle Active Data Guard, Oracle GoldenGate, and Oracle Zero Data Loss Recovery Appliance Cloud Service. Autonomous Database is a self-driving, self-securing, and self-repairing cloud database service that automates provisioning, configuring, securing, tuning, scaling, patching, backing up, and repairing of databases without human intervention. It also provides built-in HA and DR features based on Oracle Maximum Availability Architecture (MAA), such as transparent application continuity, automatic failover to standby databases or regions, automatic backups to object storage, point-in-time recovery using restore points or backups.

NoSQL Service does not provide data processing on OCI Lakehouse. According to the Oracle website5, “Oracle Lakehouse provides extensive data processing capabilities, to accommodate the migration of existing architectures or the creation of new, agile ones. You can use Autonomous Database for SQL processing; Big Data Service for Hadoop/Spark processing; OCI Data Flow for serverless Spark processing; and OCI Data Integration for data movement.” NoSQL Service is a fully managed database service that provides fast and predictable performance for simple queries on flexible schemas.

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 not a prerequisite for patching Grid Infrastructure or database homes when using the console. According to the Oracle documentation8, “Before you patch Grid Infrastructure or database homes, ensure that the following prerequisites are met: All database compute nodes of the VM cluster are up and running. The /u01 directory on the database host file system has at least 15 GB of free space for the execution of patching processes. The required patch is available on the Control Plane server.” This means that Oracle Clusterware must be up and running on the VM cluster before patching, not down.

Hadoop clusters cannot be run on Oracle Database 19c. Hadoop is a framework for distributed processing of large data sets across clusters of computers using simple programming models. Oracle Database 19c is a relational database management system that supports SQL and PL/SQL queries and transactions. Hadoop clusters require a different architecture and storage model than Oracle Database 19c. Oracle Database 19c does not support the Hadoop Distributed File System (HDFS) or the MapReduce programming model.