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Oracle 1Z0-931-26 Exam Syllabus Topics:
| Section |
Weight |
Objectives |
| Topic 1: Database Management and Operations |
25% |
- Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Implement backup, recovery and high availability strategies
|
| Topic 2: AI Features and Capabilities |
30% |
- Implement Select AI for natural language to SQL generation - Apply AI-assisted performance tuning and optimization - Use Oracle Machine Learning within Autonomous Database - Configure and use AI Vector Search
|
| Topic 3: Security, Integration and Data Management |
20% |
- Use Autonomous Database tools for development and administration - Configure identity and access management - Load, migrate and integrate data from various sources - Implement data encryption and security controls
|
| Topic 4: Autonomous Database Architecture and Provisioning |
25% |
- Integrate Autonomous Database with Oracle Cloud Infrastructure services - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Provision and configure Autonomous Database on dedicated infrastructure
|
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Oracle Autonomous AI Database Professional 認定 1Z0-931-26 試験問題 (Q91-Q96):
質問 # 91
To whom, and in which order, are dedicated Exadata Infrastructure resources provisioned?
- A. Database Administrator, Autonomous Container DB -> Autonomous DB -> Fleet Administrator -> Autonomous Exadata Infrastructure
- B. Fleet Administrator, Autonomous Exadata Infrastructure -> Autonomous Container DB -> Database Administrator -> Autonomous DB
- C. Fleet Administrator, Autonomous Exadata Infrastructure -> Database Administrator -> Autonomous Container DB -> Autonomous DB
- D. Database Administrator, Autonomous Exadata Infrastructure -> Fleet Administrator -> Autonomous Container DB -> Autonomous DB
正解:B
解説:
Provisioning dedicated Exadata Infrastructure resources for Autonomous Database follows a specific hierarchical order:
Fleet Administrator, Autonomous Exadata Infrastructure -> Autonomous Container DB -> Database Administrator -> Autonomous DB (A):
Fleet Administrator provisions Autonomous Exadata Infrastructure: The Fleet Administrator, responsible for infrastructure management, first sets up the Autonomous Exadata Infrastructure (AEI), which includes the physical Exadata hardware and networking configuration.
Fleet Administrator provisions Autonomous Container DB (ACD): Within the AEI, the Fleet Administrator creates the ACD, a container that hosts multiple Autonomous Databases.
Database Administrator provisions Autonomous DB: Finally, the Database Administrator (DBA) provisions individual Autonomous Databases within the ACD, configuring them for specific workloads (e.g., ATP or ADW).
The incorrect options are:
B: The Database Administrator cannot provision the ACD before the AEI is set up by the Fleet Administrator.
C and D: The Database Administrator does not provision the AEI or ACD; these are infrastructure-level tasks handled by the Fleet Administrator.
This order ensures proper separation of infrastructure and database management responsibilities.
質問 # 92
What two actions can you do when a refreshable clone passes the refresh time limit? (Choose two.)
- A. You can extend the refresh time limit
- B. You can use the instance as a read-only database
- C. You can disconnect from the source to make the database a read/write database
- D. You can manually refresh the clone
正解:B、C
解説:
A refreshable clone in Autonomous Database is a read-only copy of a source database that syncs periodically, but it has a refresh time limit (typically 7 days). Once this limit is exceeded, specific actions are available. The two correct options are:
You can disconnect from the source to make the database a read/write database (B): After the refresh time limit passes, the clone can no longer sync with the source. You can “disconnect” it (via the OCI console or API, e.g., oci db autonomous-database update --is-refreshable-clone false), converting it into an independent, read/write Autonomous Database. This requires a new license and incurs full costs, but it allows modifications (e.g., INSERT or UPDATE) that were blocked in read-only mode. For example, a test clone might be disconnected to become a production instance after testing.
You can use the instance as a read-only database (C): Even after the refresh limit, the clone remains functional as a read-only database, retaining its last refreshed state. You can query it (e.g., SELECT * FROM sales) for analysis or reporting without further refreshes, though it won’t reflect source updates. This is useful if ongoing read-only access suffices without needing write capabilities.
The incorrect options are:
You can manually refresh the clone (A): False. Once the refresh time limit (e.g., 7 days) is exceeded, manual refreshes are not possible. The clone’s refresh capability expires, and it can’t sync again unless recreated. This is a fixed constraint to manage resource usage in ADB.
You can extend the refresh time limit (D): False. The refresh period (set during clone creation, max 7 days) cannot be extended after provisioning. You’d need to create a new clone with a longer limit if needed, but post-expiry, no extension is allowed.
These options provide flexibility post-expiry, balancing read-only continuity and full database conversion.
質問 # 93
Which statement is FALSE about the Catalog tool?
- A. You can delete an entity from the Autonomous Database via the Catalog tool.
- B. Impact shows the entities that depend on the source.
- C. You can view the data definition of an entity.
- D. You can limit the display of entities to only those with certain names, schemas, types, or applications by entering values in the Search field.
正解:A
解説:
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.
質問 # 94
Which statement is FALSE about setting up compartment quotas?
- A. Quotas set on a parent compartment override quotas set on child compartments.
- B. Compartment quotas use policies that allow allocation of resources with a high level of flexibility.
- C. Compartment quotas cannot be set on the root compartment.
- D. You cannot manage quotas in a compartment unless you belong to a group that has the correct permissions.
正解:C
解説:
Compartment quotas in Oracle Cloud Infrastructure (OCI) manage resource allocation:
Correct Answer (D): “Compartment quotas cannot be set on the root compartment” is false. Quotas can be applied to any compartment, including the root compartment, to limit resource usage tenancy-wide. While direct quotas on the root are less common (child compartment quotas are typically used), it’s technically possible via OCI policies.
True Statements:
A: Quotas offer flexible resource limits (e.g., OCPUs, storage) via policy statements.
B: Parent compartment quotas take precedence over child quotas, enforcing hierarchical control.
C: Managing quotas requires appropriate IAM permissions (e.g., manage quotas), ensuring security.
This flexibility supports granular resource management across the tenancy.
質問 # 95
In the Autonomous Database on Dedicated Infrastructure service, what does the fleet administrator use to control OCPU utilization?
- A. SQL Developer Web Console
- B. Compartment quotas
- C. Oracle Machine Learning notebook
- D. Resource Manager settings
正解:B
解説:
Fleet administrators manage resource utilization in Autonomous Database on Dedicated Infrastructure:
Correct Answer (B): Compartment quotas are used to set limits on OCPU usage across multiple database instances within a compartment. This OCI feature allows administrators to define maximum resource allocations, ensuring efficient use and cost control at a tenancy level.
Incorrect Options:
A: Oracle Machine Learning notebooks are for analytics, not resource control.
C: SQL Developer Web Console manages individual database tasks, not fleet-wide OCPU limits.
D: Resource Manager settings apply to individual instances, not fleet-level quotas.
Compartments provide a scalable, tenancy-wide control mechanism.
質問 # 96
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