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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Describe Autonomous Database architecture and core components |
| Topic 2: AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization - Implement Select AI for natural language to SQL generation |
| Topic 3: Database Management and Operations | 25% | - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Implement backup, recovery and high availability strategies - Configure auto-scaling and storage management |
| Topic 4: Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Implement data encryption and security controls - Configure identity and access management - Use Autonomous Database tools for development and administration |
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NEW QUESTION # 42
What is the default time range in Performance Hub?
Answer: A
Explanation:
Performance Hub in Autonomous Database provides performance monitoring insights. The correct answer is:
24 Hours (C): When you open Performance Hub in the OCI console or Database Actions, the default time range displayed is the last 24 hours, shown in Coordinated Universal Time (UTC). This allows users to review recent performance metrics like CPU usage, SQL activity, and wait times. Users can adjust this range (e.g., to 1 hour or 1 week) as needed.
The incorrect options are:
15 Minutes (A): This is not a default option; it’s too short for a broad performance overview.
1 Hour (B): Available as an option, but not the default setting.
1 Week (D): Also available, but not the default; it’s a longer-term view users can select manually.
The 24-hour default balances recency and context for performance analysis.
NEW QUESTION # 43
Your customer has upgraded their on-premises 11.2 Database to 12.2. During this migration, the database was migrated to a pluggable database (PDB) and is now in production. How should the customer unplug their database to migrate to an Autonomous Database?
Answer: D
Explanation:
Migrating a PDB to Autonomous Database has limitations:
Correct Answer (B): “PDBs cannot be migrated to an Autonomous Database using plug, unplug, or clone” is true. Autonomous Database does not support direct plugging/unplugging of PDBs due to its managed architecture and differing storage/backup mechanisms.
Incorrect Options:
A: Unplugging into an XML file is valid for traditional PDBs, but Autonomous Database doesn’t accept this for migration.
C: Cloning via database link isn’t a standard method; it’s more aligned with replication tools like GoldenGate.
D: PDB archives (e.g., .pdb files) are not supported for direct import into Autonomous Database.
Instead, use tools like Data Pump or GoldenGate for migration.
NEW QUESTION # 44
Which two statements apply to the Autonomous Database service on Dedicated Infrastructure? (Choose two.)
Answer: A,B
Explanation:
Autonomous Database on Dedicated Infrastructure offers more control than shared infrastructure. The two correct statements are:
You, as the customer, are responsible for all patching operations (A): In dedicated infrastructure, customers manage patching for Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs), unlike shared infrastructure where Oracle handles it. You choose when to apply Release Updates (RUs) or skip them (up to two quarters), using the OCI console or API (e.g., oci db autonomous-container-database update). For example, you might schedule an RU for an ACD on a Saturday night, downloading the patch from Oracle and applying it manually to minimize downtime. This responsibility comes with the dedicated model’s flexibility.
You can set maintenance windows for each individual Autonomous Container Database (C): Dedicated infrastructure allows setting specific maintenance windows per ACD, not just at the Exadata Infrastructure level. In the OCI console, under each ACD’s details, you configure a preferred time (e.g., “Sundays, 02:00-04:00 UTC”), ensuring patches or upgrades align with your schedule. For instance, ACD1 might patch Sundays, while ACD2 patches Tuesdays, tailoring downtime to different workloads.
The incorrect options are:
You can set maintenance windows for an Autonomous Exadata Infrastructure (B): Maintenance windows are set at the ACD level, not the broader Autonomous Exadata Infrastructure (AEI) level. AEI maintenance (e.g., hardware updates) is Oracle-managed, with notification but no customer scheduling.
Patching occurs on the first Sunday of each quarter (D): There’s no fixed schedule like “first Sunday.” In dedicated mode, you control patching timing within a quarter, notified by Oracle of available RUs, unlike shared infrastructure’s Oracle-driven schedule.
These statements highlight dedicated infrastructure’s customer-driven management.
NEW QUESTION # 45
Which three statements are true about procedures in the DBMS_CLOUD package?
Answer: B,C,D
Explanation:
Full Detailed In-Depth Explanation:
The DBMS_CLOUD package facilitates cloud integration:
A: True. CREATE_EXTERNAL_TABLE creates external tables for querying cloud data directly.
B: False. No DELETE_FILE procedure exists; credential management uses DROP_CREDENTIAL.
C: True. CREATE_CREDENTIAL securely stores cloud storage credentials.
D: True. VALIDATE_EXTERNAL_TABLE checks file integrity and logs errors.
E: False. PUT_OBJECT uploads files to cloud storage, not into the database.
NEW QUESTION # 46
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 # 47
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