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| Section | Objectives |
|---|---|
| Performance, Backup and Recovery | - High availability and disaster recovery - Performance tuning - Backup and restore operations |
| Security and Integration | - Integrate with Oracle Cloud services - Automate administrative tasks - Implement database security features |
| Administration and Operations | - Monitor database health and performance - Manage users and security - Scale compute and storage resources |
| Provisioning and Deployment | - Create and provision Autonomous AI Database - Configure networking and connectivity - Select workload type and deployment options |
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NEW QUESTION # 89
How do you change the tablespace quota for user MTHEO on an Autonomous Database on Shared Infrastructure?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
In Autonomous Database on Shared Infrastructure, tablespace quotas are managed using standard SQL commands, as administrative packages like DBMS_CLOUD_ADMIN are restricted in this environment. The correct method is:
ALTER USER MTHEO QUOTA UNLIMITED ON TABLESPACE DATA: This command directly modifies the user’s quota on the DATA tablespace, which is the default tablespace in Autonomous Database. “UNLIMITED” removes any storage restrictions.
Analysis of options:
A: Incorrect. DBMS_CLOUD_ADMIN is used in dedicated infrastructure for advanced administrative tasks, not shared infrastructure for quota changes.
B: Correct. This is the standard SQL syntax supported in shared infrastructure.
C: Incorrect. ALTER TABLESPACE modifies tablespace properties, not user quotas, and isn’t applicable here.
D: Incorrect. ALTER DATABASE syntax is invalid for user quotas; it’s for database-wide settings.
NEW QUESTION # 90
Which three advanced options can you enable or disable while creating a business model? (Choose three.)
Answer: B,C,D
Explanation:
When creating a business model in Autonomous Database (e.g., via Data Modeler), advanced options enhance analytical capabilities:
Correct Answer (A): Autonomous Aggregate Cache uses dimensional metadata to manage caching, improving query performance.
Correct Answer (B): Analytic View Transparency View exposes analytic views as standard views for compatibility with existing tools.
Correct Answer (C): Analytic View Base Table Query Transformation enables seamless integration of analytic views into existing reports.
Incorrect Options:
D: “Display private tables” is not a recognized advanced option in this context.
E: “Business Object Security Feature” is unrelated to Autonomous Database business modeling.
These options optimize analytical workloads.
NEW QUESTION # 91
You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?
Answer: C
Explanation:
Oracle’s automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won’t affect performance until explicitly activated.
The incorrect options are:
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.
EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.
The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.
NEW QUESTION # 92
An Autonomous Database user with an instance wallet has left the company. The user had shared a database user ID with other users when accessing the Autonomous Database. Other than changing the shared user password, what can an administrator do to protect the instance?
Answer: A
Explanation:
Securing an Autonomous Database after a user departs involves:
Correct Answer (C): “Rotate the instance wallet and share the new wallet with the remaining users” invalidates the old wallet’s credentials (e.g., certificates in ewallet.p12). Since the wallet secures client connections, rotating it ensures the departed user’s access is revoked, even if they retained a copy.
Incorrect Options:
A: Trusting the user is a security risk, not a solution.
B: Deleting the database user ID doesn’t address wallet-based access if credentials were shared externally.
D: Shutting down and restarting doesn’t revoke wallet access; it’s a temporary disruption.
This enhances security beyond password changes.
NEW QUESTION # 93
Which tab in the Data Load Explore tool shows the size of the table and the number of rows and columns?
Answer: B
Explanation:
The Data Load Explore tool in Autonomous Database helps users analyze loaded data. The correct tab is:
Statistics tab (B): The Statistics tab displays detailed metadata about a table, including its size (e.g., in MB or GB), number of rows, and number of columns. For example, after loading a CSV into a table SALES, this tab might show “Rows: 10,000, Columns: 5, Size: 2.3 MB,” providing a quick overview of the dataset’s scale and structure. It’s designed for understanding data volume and composition, aiding decisions like partitioning or indexing.
The incorrect options are:
Hierarchies tab (A): This tab shows hierarchical relationships in the data (e.g., parent-child links), not basic table metrics like size or row count. It’s more about data organization than statistics.
Data Sources tab (C): This tab lists the sources of loaded data (e.g., OCI Object Storage buckets or files), not the resulting table’s properties. It focuses on origin, not metrics.
Measures tab (D): The Measures tab defines numerical aggregates (e.g., sum of sales), used for analytics, not raw table statistics like row or column counts.
The Statistics tab is the go-to for table sizing details in Data Load Explore.
NEW QUESTION # 94
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