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| Section | Weight | Objectives |
|---|---|---|
| Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Implement data encryption and security controls - Configure identity and access management - Use Autonomous Database tools for development and administration |
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
| AI Features and Capabilities | 30% | - Implement Select AI for natural language to SQL generation - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization |
| Database Management and Operations | 25% | - Perform patching, upgrades and lifecycle management - Monitor and manage database performance and resources - Configure auto-scaling and storage management - Implement backup, recovery and high availability strategies |
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問題 #73
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?
答案：C
解題說明：
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.
問題 #74
Which stage of the indexing pipeline divides text into tokens?
答案：C
解題說明：
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.
問題 #75
Which three options do NOT change when enabling auto scaling? (Choose three.)
答案：C,D,E
解題說明：
When enabling auto scaling in an Oracle Autonomous Database, the feature dynamically adjusts resources based on workload demand, but certain configuration elements remain unchanged unless manually altered.
Amount of storage (A): Auto scaling focuses on adjusting CPU and I/O resources to meet performance needs. The storage allocation remains constant because it is a separately provisioned resource that requires manual adjustment via the OCI Console or API. This ensures that storage capacity is not inadvertently reduced or expanded without explicit user intent.
Parallelism settings (B): These settings determine how many parallel processes are used for query execution. Auto scaling does not modify this pre-defined configuration; it adjusts resource usage (e.g., CPU cores) without altering the parallelism framework established for the database.
Level of concurrency (E): Concurrency refers to the maximum number of simultaneous user sessions. While auto scaling can indirectly influence concurrency by adjusting available resources, the concurrency limit itself is a fixed setting that remains unchanged unless explicitly modified by the administrator.
Incorrect Options:
I/O resources (C): Auto scaling directly impacts I/O resources by increasing or decreasing them alongside CPU adjustments to handle workload fluctuations.
Number of OCPUs displayed in the console (D): While the base OCPU count remains static, the effective number of OCPUs in use (up to three times the base) changes dynamically with auto scaling, and this is reflected in the console, making this option subject to change.
This behavior ensures that auto scaling optimizes performance without disrupting foundational database configurations.
問題 #76
Which predefined service connection should you use when running lots of high concurrent queries in an Autonomous Database?
答案：C
解題說明：
Full Detailed In-Depth Explanation:
Service connections in Autonomous Database:
A . DBNAME_LOW: Optimized for high concurrency with minimal resources per query, ideal for many simultaneous queries.
B . DBNAME_MEDIUM: Balanced concurrency and performance.
C . DBNAME_HIGH: Prioritizes individual query performance, not concurrency.
D . DBNAME_CONCURRENT: Not a valid service name.
問題 #77
Which tab in the Data Load Explore tool shows the size of the table and the number of rows and columns?
答案：A
解題說明：
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.
問題 #78
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