1Z0-1195-25 Exam Dumps and Practice Questions

In a simple cloud management model (e.g., Autonomous Database), 'Manage database servers and VM hosts' (A) is not the customer's responsibility; Oracle handles infrastructure management. Customers 'Subscribe to database servers' (B), manage 'Everything inside of the database' (C) like data and schemas, and 'Control access to customer VMs' (D) where applicable. Oracle's shared responsibility model delegates server and host management to the provider.

For the 'MySQL Database Service,' the 'Start' command (A) resumes OCPU billing, as it activates the database instance, incurring compute costs. 'Stop' (B) halts billing by suspending the instance, 'Restart' (C) is a stop-then-start sequence, and 'Backup' (D) affects storage, not OCPU billing. Oracle's MySQL Service documentation ties billing to the Start command.

The 'built-in SQL Worksheet and Notebook' (e.g., in Autonomous Database's Database Actions) have two true statements: 'No need to install a client query tool' (C), as it's web-based and accessible via browser, and 'Quickly start running queries with built-in web-based notebooks' (D), enabling immediate SQL execution. 'Based on Apache Tomcat' (A) is not specified in documentation, and 'Need to install client query tool for the PL/SQL' (B) is false due to its integrated nature. Oracle's documentation confirms these web-based features.

For serverless Spark processing in Oracle's Lakehouse architecture, 'OCI Data Flow' (C) is the designated service. OCI Data Flow is a fully managed, serverless platform that enables users to run Apache Spark applications without managing infrastructure, making it ideal for big data processing tasks like ETL, machine learning, and analytics. 'Oracle Analytics Cloud' (A) is an analytics and visualization tool, not a Spark processing engine. 'OCI Object Storage' (B) provides scalable storage but lacks processing capabilities, and 'OCI Data Catalog' (D) is for metadata management, not Spark job execution. Oracle's OCI documentation confirms OCI Data Flow as the primary service for serverless Spark workloads in the Lakehouse.

'Oracle Database 19c' supports 'Machine Learning' (A) via in-database algorithms, 'Translytical' (B) workloads combining transactional and analytical processing, and 'Gaming' (C) through high-performance transaction support. However, 'Hadoop Clusters' (D) cannot run directly on 19c, as Hadoop is a distributed framework requiring a separate ecosystem (e.g., Oracle Big Data Service), not a workload natively supported within the database engine. Oracle's 19c documentation details its converged database capabilities, excluding Hadoop as a direct workload.