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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementing Autonomous Database Fundamentals | - Describe Autonomous Database architecture and key features - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities | |
| Topic 2: 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 | |
| Topic 3: Applying Autonomous Database Serverless Architectures | - Implement connectivity and access methods - Manage compute resources and auto scaling - Configure Autonomous Database Serverless environments | |
| Topic 4: 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 |
| Topic 5: Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Manage dedicated deployment resources - Configure Autonomous Database Dedicated Infrastructure |
| Topic 6: Using Autonomous Database Tools | - Use Oracle APEX and Oracle Machine Learning with Autonomous Database - Use Oracle Database tools and management interfaces | |
| Topic 7: Migration and Data Integration Strategies | - Use data integration and migration tools - Plan and execute database migration strategies | |
| Topic 8: Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Topic 9: Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features |
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NEW QUESTION # 28
Which vaults are used for storing customer-managed encryption keys for Autonomous Database on Dedicated Infrastructure?
Answer: C
Explanation:
Autonomous Database on Dedicated Infrastructure supports customer-managed encryption (CME) keys for enhanced security control. The correct vaults are:
Oracle Key Vault, Oracle Cloud Infrastructure Vault (D):
Oracle Key Vault (OKV): A centralized key management solution designed for Oracle environments, OKV securely stores and manages encryption keys. It integrates with Autonomous Database to provide customer-managed TDE (Transparent Data Encryption) keys, offering features like key rotation and auditing. For example, a DBA might upload a master encryption key to OKV, which the database then uses to encrypt data at rest.
Oracle Cloud Infrastructure Vault (OCI Vault): OCI Vault is a general-purpose secrets management service in OCI, capable of storing encryption keys, passwords, and other sensitive data. It supports storing TDE keys for Autonomous Database, providing a cloud-native option with high availability and scalability. You might store a key in OCI Vault and link it to your database via the OCI console.
The incorrect options are:
Oracle Audit Vault, Oracle Key Vault (A): Oracle Audit Vault is for audit log management and analysis, not key storage. It doesn’t support CME for Autonomous Database.
Oracle Cloud Infrastructure Vault, Oracle Database Vault (B): Oracle Database Vault enforces access controls within the database but isn’t a key storage vault; it’s about privilege management, not key management.
Oracle Database Vault, Oracle Key Vault (C): As above, Database Vault isn’t a key storage solution, making this pairing incorrect.
Both OKV and OCI Vault offer robust security for CME, giving customers flexibility based on their infrastructure preferences (on-premises OKV vs. cloud-based OCI Vault).
NEW QUESTION # 29
How can you keep Autonomous Database tables in sync with an on-premises data source?
Answer: C
Explanation:
Keeping Autonomous Database tables synchronized with an on-premises data source involves loading and updating data from external locations. The Cloud Locations card on the Data Load page is the correct method:
Correct Answer (B): The Cloud Locations card allows users to connect to Oracle Cloud Infrastructure (OCI) Object Storage buckets and load data into Autonomous Database tables. By regularly updating the data in Object Storage from the on-premises source (e.g., via scripts or tools), you can maintain synchronization using this feature. It supports automated data loading workflows when paired with appropriate processes.
Incorrect Options:
A: Oracle REST Data Services (ORDS) is used for building RESTful web services, not for direct data synchronization from on-premises sources to Autonomous Database tables.
C: The Link Data option enables linking to external database tables (e.g., via database links), but it doesn’t inherently synchronize data; it provides access rather than replication.
D: There is no “FEED DATA” option on the Data Load page in Autonomous Database; this appears to be a fabricated choice.
This method leverages OCI Object Storage as an intermediary, making it a practical solution for ongoing synchronization.
NEW QUESTION # 30
A customer wants to increase the throughput of their inserts. They have discovered that the bottleneck is in the storage I/Os of their environment. What should they do to remove this bottleneck?
Answer: B
Explanation:
Addressing a storage I/O bottleneck for insert throughput in Autonomous Database involves resource adjustments:
Correct Answer (C): “Increase the number of OCPUs allocated to the database” boosts processing power, which directly improves I/O performance. In Autonomous Database, OCPUs handle both compute and I/O operations; more OCPUs increase the I/O bandwidth, reducing the bottleneck for insert-heavy workloads.
Incorrect Options:
A: Removing non-JSON data may optimize storage use but doesn’t directly address I/O throughput for inserts.
B: “Noisy neighbors” is a shared infrastructure concern, but migration isn’t a standard solution for I/O bottlenecks and requires Oracle intervention, not user control.
D: There is no DBMS_CLOUD.INCREASE_THROUGHPUT procedure; this is a fabricated option.
Scaling OCPUs is the most effective user-controlled solution.
NEW QUESTION # 31
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 # 32
Which command should you issue to enable application continuity on Oracle Autonomous Database on Shared Infrastructure?
Answer: D
Explanation:
Application Continuity ensures seamless failover for applications:
Correct Answer (B): EXEC DBMS_CLOUD_ADMIN.ENABLE_APP_CONT('<service_name>'); is the correct command for Autonomous Database on Shared Infrastructure. It enables Application Continuity for a specific service (e.g., tpurgent), leveraging the DBMS_CLOUD_ADMIN package designed for cloud-specific administration.
Incorrect Options:
A: ALTER SESSION only affects the current session, not persistent database-wide settings.
C, D: ALTER DATABASE and ALTER SYSTEM are not supported in Autonomous Database’s managed environment; Oracle restricts such commands.
This ensures application resilience in a managed setup.
NEW QUESTION # 33
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