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| Section | Objectives |
|---|---|
| Topic 1: Provisioning and Deployment | - Create and provision Autonomous AI Database - Select workload type and deployment options - Configure networking and connectivity |
| Topic 2: Security and Integration | - Implement database security features - Integrate with Oracle Cloud services - Automate administrative tasks |
| Topic 3: Performance, Backup and Recovery | - High availability and disaster recovery - Backup and restore operations - Performance tuning |
| Topic 4: Administration and Operations | - Manage users and security - Monitor database health and performance - Scale compute and storage resources |
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NEW QUESTION # 130
Which two actions can be performed when an Autonomous Database is stopped? (Choose two.)
Answer: A,D
Explanation:
When an Autonomous Database is stopped, limited actions are available:
Correct Answer (B): Start is possible to bring the database back online via the OCI Console or API.
Correct Answer (C): Update License type (e.g., from License Included to Bring Your Own License) can be performed while stopped, as it’s a configuration change not requiring database activity.
Incorrect Options:
A: Changing the admin password requires the database to be running for security validation.
D: Updating network access (e.g., ACLs) requires an active instance to apply changes.
These options reflect the stopped state’s constraints.
NEW QUESTION # 131
Which stage of the indexing pipeline divides text into tokens?
Answer: C
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 # 132
Users connect to Autonomous Data Warehouse by using one of the following consumer groups: High, Medium, and Low. Which statement is true?
Answer: C
Explanation:
Autonomous Data Warehouse (ADW) uses consumer groups (High, Medium, Low) to manage resource allocation:
Correct Answer (A): “Low provides highest concurrency and lowest resources, and DoP is 1” is true. The Low group is designed for many lightweight, short-running queries, offering maximum concurrent sessions but minimal CPU/memory per session, with a Degree of Parallelism (DoP) of 1 (serial execution).
Incorrect Options:
B: High prioritizes resources, not concurrency; it has fewer sessions with more power.
C: Medium offers balanced resources and concurrency; queries can run in parallel (DoP > 1), not just serially.
D: High has high resources but low concurrency; DoP is typically higher than 1 for resource-intensive tasks.
This setup optimizes ADW for varied workloads.
NEW QUESTION # 133
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 # 134
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
Answer: B
Explanation:
Viewing the maintenance history of Autonomous Exadata Infrastructure (AEI) requires navigating the OCI console correctly. The correct path is:
Under Solutions and Platforms then Platform Services then Autonomous Exadata (C): In the OCI console, AEI is categorized under “Solutions and Platforms” (a section for integrated services), then “Platform Services” (covering cloud platform offerings), and finally “Autonomous Exadata.” Here, you select your AEI instance (e.g., by name or OCID), and the details page displays a “Maintenance History” section listing past events (e.g., patching dates, durations, and statuses like “Completed on 2025-03-01”). For example, a quarterly RU applied on January 15 might show “Patch Applied: RU 23.1” with start/end times. This path reflects AEI’s role as a dedicated platform supporting Autonomous Container Databases (ACDs) and Autonomous Databases (ADBs).
The incorrect options are:
Under Core Infrastructure then Compute then Autonomous Exadata (A): “Core Infrastructure” > “Compute” is for virtual machines or bare metal hosts, not Exadata infrastructure. AEI isn’t a compute instance; it’s a database platform.
Under Database then Autonomous Transaction Processing then Autonomous Exadata (B): “Database” > “Autonomous Transaction Processing” focuses on ATP instances, not the underlying Exadata infrastructure. AEI maintenance is separate from specific ADB types.
Under Core Infrastructure then Autonomous Exadata (D): “Core Infrastructure” doesn’t directly list AEI; it’s too broad and lacks the “Platform Services” context needed for Exadata-specific management.
This navigation ensures you access AEI-specific maintenance details efficiently.
NEW QUESTION # 135
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