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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security, Integration and Data Management | 20% | - Configure identity and access management - Use Autonomous Database tools for development and administration - Implement data encryption and security controls - Load, migrate and integrate data from various sources |
| Topic 2: AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database - Implement Select AI for natural language to SQL generation - Apply AI-assisted performance tuning and optimization |
| Topic 3: Database Management and Operations | 25% | - Monitor and manage database performance and resources - Configure auto-scaling and storage management - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies |
| Topic 4: Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Describe Autonomous Database architecture and core components - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
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NEW QUESTION # 39
Which stage of the indexing pipeline divides text into tokens?
Answer: D
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 # 40
Oracle Data Safe is a unified control center for your Oracle databases that helps you understand the sensitivity of your data, evaluate risks to data, mask sensitive data, implement and monitor security controls, assess user security, monitor user activity, and address data security compliance requirements. Which statement is FALSE?
Answer: B
Explanation:
Full Detailed In-Depth Explanation:
Oracle Data Safe enhances database security across various deployments. Let’s evaluate:
A: True. Data Safe assesses cloud database configurations for vulnerabilities.
B: True. It evaluates user authentication, types, and password policies.
C: False. Data Safe supports Autonomous Databases, Exadata Cloud Service, OCI VMs, and on-premises Oracle databases, not just Autonomous Databases.
D: True. It scans data and metadata to identify sensitive information.
Option C is the false statement, as Data Safe’s scope extends beyond Autonomous Databases.
NEW QUESTION # 41
In the Autonomous Database on Dedicated Infrastructure service, what does the fleet administrator use to control OCPU utilization?
Answer: A
Explanation:
Fleet administrators manage resource utilization in Autonomous Database on Dedicated Infrastructure:
Correct Answer (B): Compartment quotas are used to set limits on OCPU usage across multiple database instances within a compartment. This OCI feature allows administrators to define maximum resource allocations, ensuring efficient use and cost control at a tenancy level.
Incorrect Options:
A: Oracle Machine Learning notebooks are for analytics, not resource control.
C: SQL Developer Web Console manages individual database tasks, not fleet-wide OCPU limits.
D: Resource Manager settings apply to individual instances, not fleet-level quotas.
Compartments provide a scalable, tenancy-wide control mechanism.
NEW QUESTION # 42
Which three tools can be used to monitor the usage and activities of Autonomous Database on Dedicated Infrastructure? (Choose three.)
Answer: C,D,E
Explanation:
Monitoring Autonomous Database on Dedicated Infrastructure involves specific tools:
Correct Answer (C): Enterprise Manager Cloud Control provides comprehensive monitoring of OCI resources, including CPU, memory, I/O, and SQL performance for dedicated deployments.
Correct Answer (D): OCI Metrics offers detailed metrics via the OCI Monitoring service, allowing custom dashboards and alerts for key performance indicators (e.g., OCPU usage, storage).
Correct Answer (E): Performance Hub is a built-in tool in Autonomous Database for analyzing historical performance data, identifying trends, and troubleshooting issues.
Incorrect Options:
A: RMAN (Recovery Manager) is for backup and recovery, not real-time monitoring of usage or activities.
B: Logs provide diagnostic data but are not a standalone monitoring tool; they require manual analysis or integration with other tools.
These tools collectively enable proactive management and optimization.
NEW QUESTION # 43
When working with an Autonomous Exadata Infrastructure supporting Autonomous Databases, where do you go to view the maintenance history of the Exadata?
Answer: A
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 # 44
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