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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Implement connectivity and access methods - Configure Autonomous Database Serverless environments | |
| Topic 2: Applying Select AI Capabilities | - Configure and use Select AI features - Use natural language queries with generative AI capabilities | |
| Topic 3: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Topic 4: Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Topic 5: Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Topic 6: Implementing Autonomous Database Dedicated Deployments | 20% | - Configure Autonomous Database Dedicated Infrastructure - Manage dedicated deployment resources - Apply security and isolation features |
| Topic 7: Designing Unified Data Management and AI Analytics Solutions | - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities - Use data sharing and integration features | |
| Topic 8: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Manage backup, recovery, and availability features - Optimize workloads and database performance - Monitor database performance and resource usage |
| Topic 9: Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts |
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NEW QUESTION # 61
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?
Answer: B
Explanation:
Scaling resources in Autonomous Database offers flexibility. The true statement is:
OCPUs and storage can be scaled independently (A): In Autonomous Database, you can adjust the number of OCPUs (compute resources) and storage capacity (in terabytes) separately via the OCI console or CLI. For example, you might provision an ADB with 2 OCPUs and 1 TB of storage. Later, you could scale to 4 OCPUs without changing storage, or increase storage to 2 TB without touching OCPUs. This decoupling allows tailored resource allocation—e.g., more compute for a CPU-intensive workload or more storage for growing data—without over-provisioning. Scaling is online, with no downtime, and status shows “SCALING IN PROGRESS” during the operation.
The incorrect options are:
Use auto scaling to increase storage (B): Auto scaling applies to OCPUs only, allowing up to 3x the base CPU allocation dynamically. Storage scaling is manual; you specify a new size (e.g., via oci db autonomous-database update), not via auto scaling.
Increasing OCPUs will automatically increase storage (C): There’s no automatic linkage between OCPU and storage scaling. They are independent parameters, and increasing one does not affect the other unless explicitly requested.
OCPUs and storage must remain in sync (D): No such synchronization is required. You can have 1 OCPU with 10 TB or 10 OCPUs with 1 TB, depending on workload needs.
This independence is a hallmark of Autonomous Database’s elasticity.
NEW QUESTION # 62
Which statement is FALSE about Oracle Autonomous JSON Database?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
The Oracle Autonomous JSON Database is a specialized service for managing JSON data with NoSQL-style capabilities. Let’s evaluate each statement:
A . It supports NoSQL-style, document-centric applications: True. Autonomous JSON Database is designed for NoSQL workloads, supporting document-based applications via APIs like SODA (Simple Oracle Document Access).
B . There is a 20 GB limit on JSON collection: False. The Oracle documentation does not specify a fixed 20 GB limit on JSON collections. Storage capacity is determined by the overall database size, which can scale dynamically without a specific cap on individual collections. This makes B the false statement.
C . JSON data is stored natively in the database: True. JSON data is stored in a binary format optimized for performance, avoiding the need for parsing or transformation during access.
D . You can promote Autonomous JSON Database to Autonomous Transaction Processing: True. Oracle allows promoting an Autonomous JSON Database to ATP, enabling relational capabilities if application needs evolve.
The false claim about a 20 GB limit likely stems from confusion with other database constraints, but no such restriction exists for JSON collections in Autonomous JSON Database.
NEW QUESTION # 63
Which is NOT needed to manage Oracle Autonomous Database with REST APIs?
Answer: A
Explanation:
Managing Autonomous Database via REST APIs relies on OCI authentication:
Correct Answer (D): “Database ADMIN password” is not needed. REST API access uses OCI IAM credentials, not database-level credentials like the ADMIN password.
Required Items:
A: User’s OCID identifies the API caller.
B: Tenancy’s OCID specifies the cloud environment.
C: Fingerprint of the public key authenticates API requests with a private-public key pair.
This ensures secure, external management without exposing database credentials.
NEW QUESTION # 64
For someone that is not a service administrator to use SQL Developer Web, what package would you need to use to give them access?
Answer: A
Explanation:
SQL Developer Web in Autonomous Database relies on Oracle REST Data Services (ORDS) for access. The correct package is:
ORDS_ADMIN.ENABLE_SCHEMA (B): To allow a non-admin user (e.g., ANALYST1) to use SQL Developer Web, the ADMIN user executes ORDS_ADMIN.ENABLE_SCHEMA to enable the schema for ORDS access. This procedure activates the schema for RESTful services, granting privileges like CONNECT and SELECT implicitly for web-based SQL execution. Example:
BEGIN
ORDS_ADMIN.ENABLE_SCHEMA(p_schema => 'ANALYST1');
END;
After this, the user accesses SQL Developer Web via a URL (e.g., https://<adb-host>/ords/analyst1/_sdw), logging in with their database credentials. This is necessary because SQL Developer Web runs on ORDS, and only enabled schemas can interact with it. For instance, an analyst might query SELECT * FROM sales in the web interface post-enablement, without needing full admin rights.
The incorrect options are:
ORDS_ADMIN.GRANT_SCHEMA (A): No such procedure exists in ORDS_ADMIN. Granting is handled via database roles/privileges (e.g., GRANT CONNECT), not a specific ORDS grant function.
ORDS_PRIV.ENABLE_SCHEMA (C): There’s no ORDS_PRIV package; this might confuse with ORDS_ADMIN. The correct package is ORDS_ADMIN for schema enablement.
SQLDEV_ADMIN.GRANT_SCHEMA (D): No SQLDEV_ADMIN package exists. SQL Developer Web access is managed through ORDS, not a separate SQL Developer-specific package.
ORDS_ADMIN.ENABLE_SCHEMA is the standard, secure way to enable non-admin access to this tool in ADB.
NEW QUESTION # 65
Which native data type is used to store spatial information?
Answer: C
Explanation:
Oracle Database supports spatial data with a dedicated data type:
Correct Answer (A): SDO_GEOMETRY is the native data type for storing spatial information, such as points, lines, and polygons, in a structured format compatible with spatial queries and operations.
Incorrect Options:
B: SDO_LOCATION is not a valid data type; it may be a confusion with SDO_GEOMETRY.
C: SDO_RELATE is a spatial operator for relationship analysis, not a storage type.
D: GEO_JSON is a format for spatial data, not a native Oracle data type (though it can be parsed into SDO_GEOMETRY).
This type enables advanced geospatial functionality.
NEW QUESTION # 66
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