ORACLE AUTONOMOUS DATABASE CLOUD 2025 PROFESSIONAL EXAM TRAINING SOLUTIONS & 1Z0-931-25 LATEST PRACTICE QUESTIONS & ORACLE AUTONOMOUS DATABASE CLOUD 2025 PROFESSIONAL FREE DOWNLOAD MATERIAL

Oracle Autonomous Database Cloud 2025 Professional exam training solutions & 1Z0-931-25 latest practice questions & Oracle Autonomous Database Cloud 2025 Professional free download material

Oracle Autonomous Database Cloud 2025 Professional exam training solutions & 1Z0-931-25 latest practice questions & Oracle Autonomous Database Cloud 2025 Professional free download material

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q106-Q111):

NEW QUESTION # 106
While provisioning a dedicated Autonomous Container Database, which backup retention period CANNOT be implemented?

  • A. 120 days
  • B. 60 days
  • C. 15 days
  • D. 7 days

Answer: A

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 # 107
Which statement is correct about the Service Console in an Autonomous Database?

  • A. You can use the Service Console to enable or disable auto-scaling of Autonomous DB.
  • B. You can use the Service Console to create manual backups of Autonomous Database.
  • C. You can use the Service Console to move Autonomous DB between compartments.
  • D. You can use the Service Console to manage runaway SQL statements on Autonomous DB.

Answer: D

Explanation:
Full Detailed In-Depth Explanation:
The Service Console in Autonomous Database is for database-level management:
A: False. Auto-scaling is managed via OCI console.
B: True. It allows monitoring and terminating runaway SQL statements.
C: False. Compartment moves are OCI console tasks.
D: False. Manual backups are initiated via OCI or SQL*Plus.


NEW QUESTION # 108
Which Database Actions tool is used to get information about the entities in your Oracle Autonomous Database and to also see how changing an object affects other objects?

  • A. JSON
  • B. Data Insight
  • C. Data Load
  • D. Catalog

Answer: D

Explanation:
Database Actions (formerly SQL Developer Web) offers tools for database management:
Correct Answer (A): The Catalog tool provides a detailed view of database entities (tables, views, schemas) and their metadata, including dependencies via the "Impact" tab. It helps assess how changes (e.g., dropping a table) affect related objects.
Incorrect Options:
B: Data Load is for importing data, not analyzing entities or dependencies.
C: JSON is a data format, not a tool; it's supported but irrelevant here.
D: Data Insight is a separate analytics service, not part of Database Actions.
Catalog is essential for metadata exploration and impact analysis.


NEW QUESTION # 109
Which index type is designed to index catalog information?

  • A. CTXCAT
  • B. CONSTRAINS
  • C. CTXRULE
  • D. CONTEXT

Answer: A

Explanation:
Oracle provides specialized index types for different data indexing needs. The correct answer is:
CTXCAT (B): The CTXCAT index type is specifically designed for indexing catalog information, such as product catalogs or structured data with short text fields. It supports fast queries on structured data combined with text search, making it ideal for applications like e-commerce catalogs.
The incorrect options are:
CONTEXT (A): The CONTEXT index is used for full-text search on large unstructured text data (e.g., documents), not specifically for catalog information.
CTXRULE (C): The CTXRULE index is designed for rule-based classification of text, not for catalog indexing.
CONSTRAINS (D): This appears to be a typo (likely meant "CONSTRAINTS"), but constraints are not index types; they enforce data integrity rules, not indexing.
CTXCAT enhances performance for catalog-style queries, distinguishing it from other text index types.


NEW QUESTION # 110
Which two optimizations are different between Autonomous Data Warehouse and Autonomous Transaction Processing? (Choose two.)

  • A. Backup Retention
  • B. Undo Management
  • C. Data Organization
  • D. Memory Usage

Answer: C,D

Explanation:
Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP) are optimized for different workloads, reflected in their configurations. The two differing optimizations are:
Memory Usage (A): ADW and ATP allocate memory differently to suit their purposes. ADW prioritizes a larger data cache (part of the SGA) to keep more data in memory, boosting analytical query performance (e.g., aggregations over millions of rows). For example, a SELECT SUM(sales) GROUP BY region runs faster with more cached data. ATP, conversely, balances memory across the SGA and PGA for transactional workloads, emphasizing concurrency and quick row-level operations (e.g., UPDATE orders SET status = 'shipped'). This difference ensures ADW excels at scan-heavy analytics, while ATP handles high-throughput updates.
Data Organization (B): ADW uses a columnar storage format (e.g., Hybrid Columnar Compression) optimized for analytics, storing data by column to speed up aggregations and reduce I/O (e.g., scanning only the sales column for a SUM). ATP uses a row-based format suited for OLTP, enabling fast single-row access and updates (e.g., retrieving or modifying a specific order_id). For instance, inserting a row in ATP is efficient due to row storage, while ADW's columnar format accelerates SELECT AVG(price) FROM products.
The incorrect options are:
Backup Retention (C): Both ADW and ATP use the same automatic backup system (via Oracle's Automatic Workload Repository), with a default 60-day retention adjustable by users. There's no optimization difference here; it's a shared managed feature.
Undo Management (D): Both databases use Oracle's Flashback technology for undo (e.g., rolling back transactions or querying past states), with retention periods set similarly. Undo is managed automatically in both, not optimized differently.
These optimizations tailor ADW for analytics and ATP for transactions, despite their shared autonomous foundation.


NEW QUESTION # 111
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