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| Section | Objectives |
|---|---|
| Topic 1: Security and Integration | - Implement database security features - Integrate with Oracle Cloud services - Automate administrative tasks |
| Topic 2: Provisioning and Deployment | - Select workload type and deployment options - Create and provision Autonomous AI Database - Configure networking and connectivity |
| Topic 3: Administration and Operations | - Monitor database health and performance - Manage users and security - Scale compute and storage resources |
| Topic 4: Performance, Backup and Recovery | - Performance tuning - Backup and restore operations - High availability and disaster recovery |
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NEW QUESTION # 14
Which management operation is correct about Autonomous Databases on Shared Exadata Infrastructure?
Answer: D
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 # 15
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)
Answer: C,D
Explanation:
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle’s architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won’t notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database’s high-availability design. The status shows “SCALING IN PROGRESS,” but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren’t killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There’s no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB’s autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.
NEW QUESTION # 16
Which two statements are true about Data Insights?
Answer: B,D
Explanation:
Full Detailed In-Depth Explanation:
A: True. Data Insights works with tables and business models in ADW.
B: False. Exclusive to Autonomous Database, not on-premises.
C: True. Search history is retrievable.
D: False. Included in ADW, not separately priced.
NEW QUESTION # 17
Data Guard is enabled for your Autonomous Database and the Lifecycle State field for the primary database indicates that it is Stopped. Which statement is true?
Answer: A
Explanation:
With Autonomous Data Guard enabled, the primary and standby databases are tightly coupled:
Correct Answer (C): “Standby database is also stopped” is true. When the primary database is stopped (e.g., via OCI Console), the standby database is also stopped to maintain consistency and alignment between the two. This ensures the standby remains a viable replica when the primary restarts.
Incorrect Options:
A: Switchover (role reversal) requires manual initiation and an active primary; it doesn’t occur automatically on stop.
B: The standby is not terminated; it remains configured but stopped.
D: Failover (standby promotion) is not automatic on a planned stop; it’s triggered only by primary failure.
This behavior preserves Data Guard functionality.
NEW QUESTION # 18
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
Answer: D
Explanation:
Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:
Under Solutions and Platforms then Platform Services then Autonomous Exadata (C): In the OCI console, AEI is categorized under “Solutions and Platforms” (a section for integrated services), then “Platform Services” (covering cloud platform offerings), and finally “Autonomous Exadata.” Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a “Maintenance History” section listing past events (e.g., patching dates, durations, and statuses like “Completed on 2025-03-01”). For example, a quarterly RU applied on January 15 might show “Patch Applied: RU 23.1” with start/end times. This path reflects AEI’s role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).
The incorrect options are:
Under Core Infrastructure then Compute then Autonomous Exadata (A): “Core Infrastructure” > “Compute” is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn’t a compute instance; it’s a database platform.
Under Database then Autonomous Transaction Processing then Autonomous Exadata (B): “Database” > “Autonomous Transaction Processing” focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.
Under Core Infrastructure then Autonomous Exadata (D): “Core Infrastructure” doesn’t directly list AEI; it’s too broad and lacks the “Platform Services” context needed for Exadata-specific management.
This navigation ensures you access AEI-specific maintenance details efficiently.
NEW QUESTION # 19
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