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| Section | Weight | Objectives |
|---|---|---|
| Database Management and Operations | 25% | - Configure auto-scaling and storage management - Monitor and manage database performance and resources - Perform patching, upgrades and lifecycle management - Implement backup, recovery and high availability strategies |
| Autonomous Database Architecture and Provisioning | 25% | - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on dedicated infrastructure |
| AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization - Implement Select AI for natural language to SQL generation |
| Security, Integration and Data Management | 20% | - Configure identity and access management - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration - Implement data encryption and security controls |
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NEW QUESTION # 20
Which three options do NOT change when enabling auto scaling? (Choose three.)
Answer: C,D,E
Explanation:
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.
NEW QUESTION # 21
How many Network Security Groups (NSGs) can you configure for an Autonomous Database?
Answer: D
Explanation:
Network Security Groups (NSGs) in OCI control network traffic to Autonomous Database instances:
Correct Answer (D): You can configure up to 5 NSGs for an Autonomous Database. This limit allows sufficient flexibility to define multiple security rules while maintaining manageability. NSGs can be assigned during provisioning or updated later via the OCI Console or API, restricting access to specific IP ranges or VCNs.
Incorrect Options:
A, B, C: The values 3, 9, and 7 are not documented limits for NSGs in Autonomous Database; the official limit is 5.
This capability supports secure network configurations tailored to organizational needs.
NEW QUESTION # 22
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 # 23
A customer wants to increase the throughput of their inserts. They have discovered that the bottleneck is in the storage I/Os of their environment. What should they do to remove this bottleneck?
Answer: B
Explanation:
Addressing a storage I/O bottleneck for insert throughput in Autonomous Database involves resource adjustments:
Correct Answer (C): “Increase the number of OCPUs allocated to the database” boosts processing power, which directly improves I/O performance. In Autonomous Database, OCPUs handle both compute and I/O operations; more OCPUs increase the I/O bandwidth, reducing the bottleneck for insert-heavy workloads.
Incorrect Options:
A: Removing non-JSON data may optimize storage use but doesn’t directly address I/O throughput for inserts.
B: “Noisy neighbors” is a shared infrastructure concern, but migration isn’t a standard solution for I/O bottlenecks and requires Oracle intervention, not user control.
D: There is no DBMS_CLOUD.INCREASE_THROUGHPUT procedure; this is a fabricated option.
Scaling OCPUs is the most effective user-controlled solution.
NEW QUESTION # 24
What is the default time range in Performance Hub?
Answer: A
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 # 25
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