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| Section | Weight | Objectives |
|---|---|---|
| Implementing Autonomous Database Fundamentals | - Understand Autonomous Database automation capabilities - Provision and configure Autonomous Database services - Describe Autonomous Database architecture and key features | |
| Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Optimize workloads and database performance - Monitor database performance and resource usage - Manage backup, recovery, and availability features |
| Applying Select AI Capabilities | - Configure and use Select AI features - Use natural language queries with generative AI capabilities | |
| Designing Unified Data Management and AI Analytics Solutions | - Apply analytics and AI-driven data solutions - Use data sharing and integration features - Implement JSON, graph, spatial, and text data capabilities | |
| Applying Autonomous Database Serverless Architectures | - Implement connectivity and access methods - Configure Autonomous Database Serverless environments - Manage compute resources and auto scaling | |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Manage dedicated deployment resources - Apply security and isolation features - Configure Autonomous Database Dedicated Infrastructure |
| Migration and Data Integration Strategies | - Use data integration and migration tools - Plan and execute database migration strategies |
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NEW QUESTION # 41
In the Autonomous Database on Dedicated Infrastructure service, what does the fleet administrator use to control OCPU utilization?
Answer: D
Explanation:
Fleet administrators manage resource utilization in Autonomous Database on Dedicated Infrastructure:
Correct Answer (B): Compartment quotas are used to set limits on OCPU usage across multiple database instances within a compartment. This OCI feature allows administrators to define maximum resource allocations, ensuring efficient use and cost control at a tenancy level.
Incorrect Options:
A: Oracle Machine Learning notebooks are for analytics, not resource control.
C: SQL Developer Web Console manages individual database tasks, not fleet-wide OCPU limits.
D: Resource Manager settings apply to individual instances, not fleet-level quotas.
Compartments provide a scalable, tenancy-wide control mechanism.
NEW QUESTION # 42
Which two methods can you use to create database users and grant roles in Autonomous Database services?
Answer: A,D
Explanation:
Full Detailed In-Depth Explanation:
User and role management in Autonomous Database:
A: False. OCI console manages infrastructure, not database users.
B: True. SQL Developer provides a GUI for user/role administration.
C: False. DBMS_CLOUDADMIN is for cloud-specific tasks, not user creation.
D: True. SQL*Plus allows direct SQL commands for user/role management.
NEW QUESTION # 43
Where are the customer-managed encryption keys stored for Autonomous Database on Dedicated Infrastructure?
Answer: A
Explanation:
Customer-managed encryption keys enhance security control:
Correct Answer (A): “In a separate key vault external to the Exadata infrastructure” refers to OCI Vault (Key Management Service), where keys are securely stored and managed outside the database infrastructure.
Incorrect Options:
B: The wallet secures connections, not encryption keys.
C: Storing keys on Exadata compromises separation of duties.
D: Backups don’t store keys; they’re encrypted by keys from the vault.
This separation ensures robust key management.
NEW QUESTION # 44
Which can be scaled independently of the number of CPUs in an Autonomous Database?
Answer: E
Explanation:
Autonomous Database allows independent scaling of certain resources:
Correct Answer (B): “Storage” can be scaled independently of OCPUs via the OCI Console or API, adjusting capacity (e.g., from 1 TB to 2 TB) without altering compute resources.
Incorrect Options:
A: Sessions depend on CPU and memory limits, not independently scalable.
C: Memory scales with OCPUs in a fixed ratio, not separately.
D, E: Concurrency and parallelism are tied to CPU resources and consumer group settings.
This flexibility optimizes cost and capacity management.
NEW QUESTION # 45
What is the default time range in Performance Hub?
Answer: D
Explanation:
Performance Hub in Autonomous Database provides performance monitoring insights. The correct answer is:
24 Hours (C): When you open Performance Hub in the OCI console or Database Actions, the default time range displayed is the last 24 hours, shown in Coordinated Universal Time (UTC). This allows users to review recent performance metrics like CPU usage, SQL activity, and wait times. Users can adjust this range (e.g., to 1 hour or 1 week) as needed.
The incorrect options are:
15 Minutes (A): This is not a default option; it’s too short for a broad performance overview.
1 Hour (B): Available as an option, but not the default setting.
1 Week (D): Also available, but not the default; it’s a longer-term view users can select manually.
The 24-hour default balances recency and context for performance analysis.
NEW QUESTION # 46
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