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| Section | Weight | Objectives |
|---|---|---|
| Implementing Autonomous Database Fundamentals | - Describe Autonomous Database architecture and key features - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities | |
| Designing Unified Data Management and AI Analytics Solutions | - Use data sharing and integration features - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities | |
| 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 |
| Implementing Autonomous Database Dedicated Deployments | 20% | - Manage dedicated deployment resources - Configure Autonomous Database Dedicated Infrastructure - Apply security and isolation features |
| Migration and Data Integration Strategies | - Plan and execute database migration strategies - Use data integration and migration tools | |
| Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Configure Autonomous Database Serverless environments - Implement connectivity and access methods | |
| Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services | |
| Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features |
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NEW QUESTION # 136
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?
Answer: B
Explanation:
Oracle’s automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won’t affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.
NEW QUESTION # 137
Which method does NOT permit you to change the database ADMIN user's password of an Oracle Autonomous Database on Shared Infrastructure?
Answer: C
Explanation:
Changing the ADMIN user’s password in an Autonomous Database on Shared Infrastructure is restricted to specific managed methods due to its serverless nature:
Correct Answer (C): “OS command line from the database server” is not permitted because Autonomous Database is fully managed by Oracle. Users do not have direct access to the underlying operating system or server, eliminating this as a viable option.
Valid Methods:
A: The Admin page in the OCI Console allows password changes via the “Change Administrator Password” option, a user-friendly GUI method.
B: The OCI CLI supports password updates using commands like oci db autonomous-database update with the --admin-password parameter.
D: SQL Developer can change the password using an ALTER USER ADMIN IDENTIFIED BY <new_password> command, provided the user has appropriate credentials.
This restriction ensures security and consistency in a managed environment.
NEW QUESTION # 138
Which statement is true about OCPUs and storage when you choose to scale your Autonomous Database?
Answer: A
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 # 139
Which three Oracle Cloud Infrastructure (OCI) resources do you need to configure before provisioning your Autonomous Database with a private endpoint? (Choose three.)
Answer: A,C,D
Explanation:
Provisioning an Autonomous Database with a private endpoint requires:
Correct Answer (A): Network Security Group (NSG) defines traffic rules for the private endpoint, restricting access to specific sources.
Correct Answer (B): VCN (Virtual Cloud Network) provides the network foundation, hosting the subnet and endpoint.
Correct Answer (E): Subnet (private) contains the database’s private endpoint, isolating it from public access.
Incorrect Options:
C: Security Lists apply to subnets but are optional with NSGs, which are preferred for finer control.
D: Route Table is needed for connectivity (e.g., to a NAT Gateway), but not strictly required for the private endpoint itself.
These ensure secure, private access.
NEW QUESTION # 140
You created an Autonomous Database without auto scaling. Which two ways can you enable auto scaling? (Choose two.)
Answer: B,D
Explanation:
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.
NEW QUESTION # 141
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