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| Section | Objectives |
|---|---|
| Topic 1: Administration and Operations | - Manage users and security - Monitor database health and performance - Scale compute and storage resources |
| Topic 2: Performance, Backup and Recovery | - Backup and restore operations - High availability and disaster recovery - Performance tuning |
| Topic 3: Provisioning and Deployment | - Select workload type and deployment options - Configure networking and connectivity - Create and provision Autonomous AI Database |
| Topic 4: Security and Integration | - Implement database security features - Automate administrative tasks - Integrate with Oracle Cloud services |
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NEW QUESTION # 37
Which two objects are imported when using Data Pump to migrate your Oracle Database to Autonomous Database? (Choose two.)
Answer: B,D
Explanation:
Data Pump is a standard tool for migrating databases, including to Autonomous Database:
Correct Answer (A): Data is imported, encompassing table contents and other data objects, ensuring all records are transferred to the target Autonomous Database.
Correct Answer (B): Schemas are imported, including schema definitions (tables, views, indexes, etc.) and their metadata, preserving the database structure.
Incorrect Options:
C: Tablespaces are not imported directly. Autonomous Database manages its own storage internally, automatically mapping imported data to its storage architecture without requiring tablespace definitions from the source.
D: Reports are not database objects and are not part of the Data Pump migration process; they are typically generated separately post-migration.
This ensures a complete and functional migration of data and structure.
NEW QUESTION # 38
Which statement is FALSE regarding provisioning an Autonomous Database and configuring private endpoints with security rules to allow incoming and outgoing traffic to and from the Autonomous Database instance?
Answer: C
NEW QUESTION # 39
You have been tasked with analyzing a year’s worth of sales data stored in an Autonomous Data Warehouse instance. Which tool would you use to automate data exploration and create pivot tables?
Answer: D
Explanation:
Full Detailed In-Depth Explanation:
A: False. APEX is for app development, not data exploration.
B: False. SQL Developer Web is for SQL queries, not pivot tables.
C: True. Business Models in ADW automates data exploration and generates pivot tables.
D: False. Data Load is for importing data, not analysis.
NEW QUESTION # 40
Which three are use cases for Graph Studio? (Choose three.)
Answer: C,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 # 41
While provisioning a dedicated Autonomous Container Database, which backup retention period CANNOT be implemented?
Answer: C
Explanation:
Full Detailed In-Depth Explanation:
When provisioning an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle provides specific options for backup retention periods to balance data recovery needs with storage costs. According to the official Oracle documentation, the available backup retention periods for a dedicated ACD are:
7 days: This is the default retention period for a newly provisioned ACD.
15 days: An option for extended retention beyond the default.
60 days: The maximum supported retention period for ACDs, offering the longest recovery window.
The option of 120 days is not supported as a backup retention period for an Autonomous Container Database. This limitation is due to the design of the Autonomous Database service, which caps retention at 60 days to optimize storage and performance on dedicated Exadata infrastructure. Attempting to set a retention period beyond 60 days is not an available choice during provisioning. Users must select a retention period that meets their recovery point objectives (RPO) within these constraints, noting that longer retention increases storage usage and associated costs.
NEW QUESTION # 42
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