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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 | |
| Applying Autonomous Database Serverless Architectures | - Configure Autonomous Database Serverless environments - Manage compute resources and auto scaling - Implement connectivity and access methods | |
| Designing Unified Data Management and AI Analytics Solutions | - Implement JSON, graph, spatial, and text data capabilities - Apply analytics and AI-driven data solutions - Use data sharing and integration features | |
| Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services | |
| Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Using Autonomous Database Tools | - Use Oracle Database tools and management interfaces - Use Oracle APEX and Oracle Machine Learning with Autonomous Database | |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Configure Autonomous Database Dedicated Infrastructure - Manage dedicated deployment resources |
| Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Monitor database performance and resource usage - Manage backup, recovery, and availability features - Optimize workloads and database performance |
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NEW QUESTION # 121
Where are the customer-managed encryption keys stored for Autonomous Database on Dedicated Infrastructure?
Answer: C
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 # 122
While creating an Autonomous Container Database on dedicated infrastructure through the Oracle Cloud Infrastructure (OCI) console, which patch type is offered to be applied during maintenance?
Answer: B
Explanation:
When creating an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle offers specific patch types for maintenance. The correct answer is:
Release Update (RU) (D): During the creation of an ACD via the OCI console, users can choose to apply a Release Update (RU), which includes the latest security patches, bug fixes, and enhancements for the database version. RUs are the standard patching mechanism for Autonomous Databases on dedicated infrastructure, ensuring the system stays current.
The incorrect options are:
Quarterly Bundle Patch (QBP) (A): QBPs are not a recognized patch type for Autonomous Databases; they are more associated with on-premises Oracle deployments, not the cloud-native Autonomous infrastructure.
Prior Release Update Revision (PRUR) (B): PRURs are minor updates to prior releases, but they are not offered as a distinct option during ACD creation; Oracle focuses on RUs for consistency.
Prior Release Update (PRU) (C): PRUs refer to updates from previous major releases, but Autonomous Databases typically apply the latest RU, not prior ones, during provisioning or maintenance.
RUs align with Oracle’s strategy for maintaining Autonomous Databases.
NEW QUESTION # 123
Users connect to Autonomous Data Warehouse by using one of the following consumer groups: High, Medium, and Low. Which statement is true?
Answer: C
Explanation:
Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:
Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).
Incorrect Options:
B: High prioritizes resources, not concurrency; it has fewer sessions with more power.
C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.
D: High has high resources but low concurrency; DoP is typically higher than 1 for resource-intensive tasks.
This setup optimizes ADW for varied workloads.
NEW QUESTION # 124
You have been tasked with analyzing a year’s worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.
NEW QUESTION # 125
You have a requirement to create an Autonomous Transaction Processing database that can support at least 200 concurrent statements per OCPU as well as parallelism. Which service will you need to connect to?
Answer: D
Explanation:
Full Detailed In-Depth Explanation:
Autonomous Transaction Processing (ATP) offers predefined service levels with varying concurrency and parallelism capabilities:
MEDIUM: Supports up to 50 concurrent statements per OCPU, with no parallelism by default. Unsuitable for the requirement.
TPURGENT: Supports up to 200 concurrent statements per OCPU and enables manual parallelism. This meets both requirements (concurrency ≥ 200 and parallelism), making it the correct choice.
LOW: Supports only 25 concurrent statements per OCPU, with no parallelism. Insufficient for the requirement.
TP: Supports 125 concurrent statements per OCPU, with no parallelism by default. Falls short of the 200 concurrency threshold.
TPURGENT is designed for high-concurrency, time-sensitive workloads, providing the necessary resources and flexibility for parallel query execution, aligning perfectly with the specified needs.
NEW QUESTION # 126
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