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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Migration and Data Integration Strategies | - Use data integration and migration tools - Plan and execute database migration strategies | |
| Topic 2: Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Topic 3: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Monitor database performance and resource usage - Optimize workloads and database performance - Manage backup, recovery, and availability features |
| Topic 4: Implementing Autonomous Database Dedicated Deployments | 20% | - Configure Autonomous Database Dedicated Infrastructure - Apply security and isolation features - Manage dedicated deployment resources |
| Topic 5: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Topic 6: Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Topic 7: Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services | |
| Topic 8: 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 | |
| Topic 9: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Implement connectivity and access methods - Configure Autonomous Database Serverless environments |
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NEW QUESTION # 120
Which Autonomous Database Service is NOT used to connect to an Autonomous Transaction Processing instance?
Answer: E
Explanation:
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.
NEW QUESTION # 121
Which are two available options when creating an Autonomous Database? (Choose two.)
Answer: A,D
Explanation:
Creating an Autonomous Database offers specific deployment options. The two correct ones are:
APEX Service on Dedicated Infrastructure (A): This option provisions an Autonomous Database on dedicated Exadata infrastructure with Oracle Application Express (APEX) pre-installed and optimized. It’s ideal for APEX-based apps (e.g., custom web forms) requiring isolated resources. In the OCI console, you select “Dedicated Infrastructure” and “APEX Service” as the workload type, specifying OCPUs and storage. For example, a company might deploy an APEX app for internal reporting on a dedicated ACD, ensuring performance isolation from other tenants.
Autonomous JSON Database on Shared Infrastructure (C): This creates a schema-less, JSON-centric ADB on shared infrastructure, optimized for document storage (e.g., { "order_id": 123, "items": [...] }). It’s provisioned via the OCI console under “Shared Infrastructure,” selecting “JSON Database” as the workload type. For instance, a mobile app might use it to store user data, leveraging SQL/JSON queries like SELECT JSON_VALUE(doc, '$.order_id'). It’s cost-effective and fully managed, sharing Exadata resources.
The incorrect options are:
APEX Service on Shared Infrastructure (B): There’s no distinct “APEX Service” workload type on shared infrastructure. APEX is available within ATP or ADW on shared infra, but it’s not a standalone option—you’d provision ATP and enable APEX manually, not as a dedicated “APEX Service.” Autonomous JSON Database on Dedicated Infrastructure (D): JSON Database is only offered on shared infrastructure, not dedicated. Dedicated options include ATP, ADW, and APEX Service, but JSON Database leverages shared resources for simplicity and cost.
These options cater to specific app development (APEX) and NoSQL (JSON) needs.
NEW QUESTION # 122
Which two statements are true when running DBMS_CLOUD.COPY_DATA? (Choose two.)
Answer: A,B
Explanation:
DBMS_CLOUD.COPY_DATA loads data into Autonomous Database:
Correct Answer (B): “The source files can reside in Oracle Object Storage, Amazon S3 Object Storage, or Azure Blob Storage” is true. The procedure supports these cloud storage services with proper credentials.
Correct Answer (E): “A valid credential must be created prior to running the DBMS_CLOUD.COPY_DATA procedure” is true. Credentials (e.g., via DBMS_CLOUD.CREATE_CREDENTIAL) authenticate access to the source storage.
Incorrect Options:
A: Source files are not automatically removed; deletion requires separate action.
C: The target table must exist; COPY_DATA doesn’t create it.
D: Archive Storage isn’t supported; only Standard Storage is compatible.
This enables flexible data loading from cloud storage.
NEW QUESTION # 123
Which three options are available to access data in an Autonomous JSON Database?
Answer: B,D,E
Explanation:
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.
NEW QUESTION # 124
When you are increasing the number of OCPUs in your Autonomous Database, what does its status show?
Answer: B
Explanation:
Scaling OCPUs in an Autonomous Database triggers a specific status update. The correct answer is:
SCALING IN PROGRESS (D): When you increase (or decrease) the number of OCPUs, the database status in the OCI console changes to “SCALING IN PROGRESS.” This indicates that the system is actively adjusting the compute resources, a process that typically completes in a few minutes with no downtime for active transactions.
The incorrect options are:
UPSCALE IN PROGRESS (A): “Upscale” is not an official status term used by Oracle for this operation.
RESIZING IN PROGRESS (B): While “resizing” might intuitively fit, Oracle specifically uses “SCALING IN PROGRESS” for CPU adjustments.
UPLIFT IN PROGRESS (C): “Uplift” is not a recognized status in the context of Autonomous Database scaling.
This status reflects Oracle’s terminology for dynamic scaling.
NEW QUESTION # 125
......
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