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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Describe Autonomous Database architecture and key features - Understand Autonomous Database automation capabilities | |
| Topic 2: Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Manage dedicated deployment resources - Configure Autonomous Database Dedicated Infrastructure |
| Topic 3: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Manage backup, recovery, and availability features - Optimize workloads and database performance - Monitor database performance and resource usage |
| Topic 4: Migration and Data Integration Strategies | - Use data integration and migration tools - Plan and execute database migration strategies | |
| Topic 5: Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Topic 6: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Configure Autonomous Database Serverless environments - Implement connectivity and access methods | |
| Topic 7: Implementing Model Context Protocol (MCP) Server Integration | - Integrate AI applications with Autonomous Database services - Understand MCP Server integration concepts | |
| Topic 8: Using Autonomous Database Tools | - Use Oracle Database tools and management interfaces - Use Oracle APEX and Oracle Machine Learning with Autonomous Database | |
| Topic 9: Designing Unified Data Management and AI Analytics Solutions | - Use data sharing and integration features - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities |
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NEW QUESTION # 125
Which stage of the indexing pipeline divides text into tokens?
Answer: B
Explanation:
The indexing pipeline in Oracle Text processes text for search:
Correct Answer (D): “Lexer” divides text into tokens (words, symbols) based on language rules and settings (e.g., whitespace, punctuation). It’s the stage responsible for tokenization in Oracle’s text indexing process.
Incorrect Options:
A: Sectioner identifies document sections (e.g., headers), not tokens.
B: Tokenizer is a generic term, but in Oracle Text, “Lexer” is the specific component.
C: Filter preprocesses text (e.g., removing stopwords), post-tokenization.
This step enables efficient text search capabilities.
NEW QUESTION # 126
Data Guard is enabled for your Autonomous Database and the Lifecycle State field for the primary database indicates that it is Stopped. Which statement is true?
Answer: C
Explanation:
With Autonomous Data Guard enabled, the primary and standby databases are tightly coupled:
Correct Answer (C): “Standby database is also stopped” is true. When the primary database is stopped (e.g., via OCI Console), the standby database is also stopped to maintain consistency and alignment between the two. This ensures the standby remains a viable replica when the primary restarts.
Incorrect Options:
A: Switchover (role reversal) requires manual initiation and an active primary; it doesn’t occur automatically on stop.
B: The standby is not terminated; it remains configured but stopped.
D: Failover (standby promotion) is not automatic on a planned stop; it’s triggered only by primary failure.
This behavior preserves Data Guard functionality.
NEW QUESTION # 127
What is the default time range in Performance Hub?
Answer: C
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 # 128
Which option should you use to create a graph with Graph Studio?
Answer: B
Explanation:
Graph Studio in Autonomous Database enables graph creation and analysis:
Correct Answer (A): “Tables in an Autonomous Database instance” are used to create graphs. Graph Studio builds property graphs from relational tables by defining vertices (nodes) and edges (relationships) based on existing data, leveraging the database’s schema.
Incorrect Options:
B: Graph analytics algorithms analyze existing graphs, not create them.
C: NoSQL configuration is unrelated; Graph Studio uses relational data.
D: No external tool from oracle.com is required; Graph Studio is a built-in feature.
E: A license key isn’t a creation method; graph features are included with Autonomous Database.
This integrates graph capabilities with existing data.
NEW QUESTION # 129
Which index type is designed to index catalog information?
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 # 130
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