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| Section | Weight | Objectives |
|---|---|---|
| Security, Integration and Data Management | 20% | - Use Autonomous Database tools for development and administration - Load, migrate and integrate data from various sources - Implement data encryption and security controls - Configure identity and access management |
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on shared infrastructure |
| Database Management and Operations | 25% | - Implement backup, recovery and high availability strategies - Perform patching, upgrades and lifecycle management - Configure auto-scaling and storage management - Monitor and manage database performance and resources |
| AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization |
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NEW QUESTION # 134
Which three are use cases for Graph Studio? (Choose three.)
Answer: B,D,E
Explanation:
Graph Studio in Autonomous Database supports graph-based analysis:
Correct Answer (C): Pattern matching identifies relationships (e.g., fraud rings) using graph queries like PGQL.
Correct Answer (D): Clustering groups related nodes (e.g., communities) using graph algorithms.
Correct Answer (B): Churn analysis leverages graph relationships to predict customer loss (e.g., via influence networks), though less emphasized than C and D, it’s a valid use case.
Incorrect Options:
A: Facial recognition is image-based, not graph-based.
E: 3-D modelling is a misinterpretation; it’s not a primary graph use case.
These align with Graph Studio’s strengths in relationship analysis.
NEW QUESTION # 135
Which two actions can you perform with Autonomous Data Guard enabled on Autonomous Database on Shared Infrastructure? (Choose two.)
Answer: B,E
Explanation:
Autonomous Data Guard on Shared Infrastructure enhances ADB availability with standby databases. The two correct actions are:
Switchover (C): A switchover swaps roles between the primary and standby databases in a planned manner, with no data loss (RPO = 0). You initiate this via the OCI console (e.g., “Switchover” button on the primary ADB’s Data Guard section) or API (e.g., oci db autonomous-database switchover). For example, before maintenance on the primary, you switch to the standby in another region (e.g., from us-ashburn-1 to us-phoenix-1), taking ~2 minutes (RTO ≈ 2 min). This ensures continuity without downtime, as the standby becomes primary seamlessly.
Failover (D): A failover promotes the standby to primary during an unplanned outage (e.g., primary region failure), also with RPO = 0 due to synchronous replication. Trigger it via the OCI console (e.g., “Failover” on the standby) or API (e.g., oci db autonomous-database failover). For instance, if us-ashburn-1 crashes, the standby in us-phoenix-1 takes over in ~2 minutes, preserving all committed transactions. It’s automatic in some cases (e.g., severe failure), but manual initiation is supported too.
The incorrect options are:
View Apply Lag (A): While relevant in traditional Data Guard (measuring replication delay), Autonomous Data Guard on shared ADB uses synchronous replication (zero lag), and apply lag isn’t a user-actionable metric exposed in the UI—monitoring focuses on role status, not lag.
Reinstate (B): Reinstatement (restoring a failed primary as a standby) isn’t a user action in shared infrastructure. Oracle manages post-failover recovery, and users can’t manually reinstate; a new standby might be provisioned instead.
Change Protection Mode (E): Traditional Data Guard offers modes (e.g., Maximum Availability), but in Autonomous Data Guard on shared infrastructure, the mode is fixed (synchronous, akin to Maximum Availability), and users can’t modify it—control is limited to switchover/failover.
These actions ensure high availability with user-initiated role changes.
NEW QUESTION # 136
Which management operation is correct about Autonomous Databases on Shared Exadata Infrastructure?
Answer: B
Explanation:
Management operations for Autonomous Databases on Shared Exadata Infrastructure are limited due to its fully managed nature. The correct statement is:
You cannot configure the scheduling for your Autonomous Databases on Shared Exadata Infrastructure (C): In shared infrastructure, Oracle fully controls maintenance scheduling (e.g., patching, upgrades). Unlike dedicated infrastructure, where users can set maintenance windows, shared ADB users cannot adjust timing. Oracle notifies users of upcoming maintenance (e.g., via email or console), typically in a 7-day window, but the exact schedule is Oracle-driven to optimize the shared Exadata platform. For example, a quarterly patch might occur on a Tuesday at 2 AM UTC, and users must adapt, not reschedule.
The incorrect options are:
You can skip a scheduled maintenance run... (A): False. Shared infrastructure does not allow skipping maintenance runs, even for two quarters. This flexibility exists only in dedicated infrastructure, where users have more control (e.g., skipping up to two consecutive updates). In shared mode, Oracle enforces updates for security and stability across all tenants.
You can perform a "rolling restart"... (B): False. Rolling restarts (restarting nodes sequentially for availability) are not user-initiated in ADB shared infrastructure. Restarts, if needed, are managed by Oracle during maintenance, and users cannot control the process or ensure node-by-node availability.
You can choose to use Release Update or Release Update Revision updates... (D): False. In shared infrastructure, Oracle applies Release Updates (RUs) uniformly across all databases; users cannot choose between RU or Release Update Revisions (RURs), a feature reserved for dedicated deployments.
This reflects the trade-off of shared infrastructure: lower cost and management effort for less control.
NEW QUESTION # 137
You need to set up a notification for a scheduled shutdown of an Autonomous Database instance. What should you do?
Answer: D
Explanation:
Setting up notifications for scheduled shutdowns leverages OCI Events:
Correct Answer (A): Creating a rule for the 'Autonomous Database STOP END' event in OCI Events triggers a notification (e.g., email via Notification Service) when the shutdown completes. This is the recommended method for tracking lifecycle events in Autonomous Database.
Incorrect Options:
B: There is no specific “Shutdown” metric in OCI Metrics; alarms monitor performance metrics, not lifecycle events like shutdowns.
C: Database triggers like BEFORE SHUTDOWN are not supported in Autonomous Database due to its managed nature, and they wouldn’t integrate with OCI notifications.
D: DBMS_SNMP is for network management, not event notifications in Autonomous Database.
This approach ensures reliable, external notification of shutdown events.
NEW QUESTION # 138
Which statement is FALSE about the Catalog tool?
Answer: D
Explanation:
The Catalog tool in Autonomous Database provides metadata exploration:
Correct Answer (A): “You can delete an entity from the Autonomous Database via the Catalog tool” is false. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.
True Statements:
B: Filtering by name, schema, type, or application is a core search feature.
C: Viewing DDL (data definition language) for entities is supported.
D: The Impact tab shows dependencies, aiding change analysis.
This ensures safe metadata exploration without risking data changes.
NEW QUESTION # 139
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