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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Database Management and Operations | 25% | - Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies - Monitor and manage database performance and resources |
| Topic 2: Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Configure identity and access management - Use Autonomous Database tools for development and administration - Implement data encryption and security controls |
| Topic 3: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components |
| Topic 4: AI Features and Capabilities | 30% | - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Configure and use AI Vector Search - Apply AI-assisted performance tuning and optimization |
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質問 # 65
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?
正解:C
解説:
Full Detailed In-Depth Explanation:
Autonomous Transaction Processing (ATP) supports specific service names for connectivity:
TPURGENT: High-priority service with 200 concurrent statements per OCPU and parallelism.
MEDIUM: Balanced service for moderate workloads.
HIGH: Optimized for reporting/batch jobs with high parallelism.
LOW: Low-priority service for minimal resource use.
TP: General-purpose transactional service.
TPPERFORMANT is not a recognized service name in ATP documentation, making A the correct answer.
質問 # 66
During the provisioning of an Autonomous Database on dedicated hardware, what should the database administrator select to determine where the Autonomous Database is created on the dedicated infrastructure?
正解:D
解説:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Database (ADB) on dedicated infrastructure, the placement within the infrastructure is critical:
A . Listener endpoint: Incorrect. This is for connectivity, not placement.
B . Client Credentials wallet: Incorrect. This is for secure connections, not determining location.
C . The container database in which the Autonomous instance should run: Correct. On dedicated infrastructure, an Autonomous Container Database (ACD) hosts multiple ADB instances. Selecting the ACD during provisioning determines where the ADB resides, affecting resource allocation and isolation.
D . The compartment: Incorrect. Compartments organize resources in OCI, but multiple ACDs can exist within a compartment, so this doesn’t pinpoint the exact location.
Choosing the ACD is a key provisioning step for dedicated deployments.
質問 # 67
Which three tools can be used to monitor the usage and activities of Autonomous Database on Dedicated Infrastructure? (Choose three.)
正解:B、C、D
解説:
Monitoring Autonomous Database on Dedicated Infrastructure involves specific tools:
Correct Answer (C): Enterprise Manager Cloud Control provides comprehensive monitoring of OCI resources, including CPU, memory, I/O, and SQL performance for dedicated deployments.
Correct Answer (D): OCI Metrics offers detailed metrics via the OCI Monitoring service, allowing custom dashboards and alerts for key performance indicators (e.g., OCPU usage, storage).
Correct Answer (E): Performance Hub is a built-in tool in Autonomous Database for analyzing historical performance data, identifying trends, and troubleshooting issues.
Incorrect Options:
A: RMAN (Recovery Manager) is for backup and recovery, not real-time monitoring of usage or activities.
B: Logs provide diagnostic data but are not a standalone monitoring tool; they require manual analysis or integration with other tools.
These tools collectively enable proactive management and optimization.
質問 # 68
Which three options are available to access data in an Autonomous JSON Database?
正解:A、D、E
解説:
Full Detailed In-Depth Explanation:
Autonomous JSON Database supports:
A: True. SODA provides NoSQL-style access for JSON documents.
B: False. SQL is secondary; SODA/REST are primary for JSON data.
C: True. REST APIs are supported but require enablement.
D: True. The OCI console offers the JSON Online Developer tool.
E: False. No such downloadable tool exists for Autonomous JSON.
質問 # 69
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)
正解:A、D
解説:
Enabling auto scaling on an existing Autonomous Database can be done without unnecessary complexity:
Correct Answer (A): “Click Scale Up/Down and select the Auto Scaling checkbox” is the simplest GUI method. In the OCI Console, navigate to the database, select “Scale Up/Down,” and enable the auto scaling option, allowing up to 3x the base OCPUs dynamically.
Correct Answer (C): “Use a REST call to enable Auto Scaling” leverages the OCI REST API to update the database configuration with the isAutoScalingEnabled parameter set to true. This is ideal for programmatic control.
Incorrect Options:
B: Shutting down the instance is unnecessary; auto scaling can be enabled while the database is running.
D: Multiple REST calls, including shutdown and restart, overcomplicate the process when a single API call suffices.
These methods ensure minimal disruption and efficient resource management.
質問 # 70
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