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| Section | Weight | Objectives |
|---|---|---|
| Security, Integration and Data Management | 20% | - Load, migrate and integrate data from various sources - Use Autonomous Database tools for development and administration - Configure identity and access management - Implement data encryption and security controls |
| Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services |
| 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 |
| AI Features and Capabilities | 30% | - Configure and use AI Vector Search - Implement Select AI for natural language to SQL generation - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization |
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NEW QUESTION # 137
Which two statements are true regarding active transactions when scaling OCPUs in an Autonomous Database? (Choose two.)
Answer: A,B
Explanation:
Scaling OCPUs in Autonomous Database is designed to be seamless. The two true statements are:
Scaling can happen while there are active transactions in the database (B): ADB supports online scaling, meaning you can increase or decrease OCPUs (e.g., from 2 to 4) via the OCI console or CLI (e.g., oci db autonomous-database update --cpu-core-count 4) without stopping the database. Active transactions (e.g., INSERT INTO orders VALUES (...)) continue running during this process. Oracle’s architecture ensures the database remains available, adjusting resources in the background. For example, a web app processing orders won’t notice the scaling operation starting at 10:00 AM.
Active transactions continue running unaffected (C): During scaling, existing transactions are not interrupted, terminated, or paused. They complete normally, with Oracle managing resource allocation transparently (e.g., shifting CPU usage without killing sessions). For instance, a long-running UPDATE statement started before scaling finishes successfully, leveraging the database’s high-availability design. The status shows “SCALING IN PROGRESS,” but users experience no downtime.
The incorrect options are:
Active transactions are terminated and rolled back (A): False. Scaling is non-disruptive; transactions aren’t killed or rolled back, preserving data integrity and user experience. Termination only occurs during explicit stops or failures, not scaling.
Active transactions are paused (D): False. There’s no pausing mechanism during scaling; transactions run continuously, as pausing would disrupt OLTP or analytical workloads, countering ADB’s autonomous promise.
This online scaling capability is a key benefit, ensuring uninterrupted service.
NEW QUESTION # 138
Which three options do NOT change when enabling auto scaling? (Choose three.)
Answer: A,B,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 # 139
Which statement is FALSE about Oracle Autonomous JSON Database?
Answer: D
Explanation:
Full Detailed In-Depth Explanation:
The Oracle Autonomous JSON Database is a specialized service for managing JSON data with NoSQL-style capabilities. Let’s evaluate each statement:
A . It supports NoSQL-style, document-centric applications: True. Autonomous JSON Database is designed for NoSQL workloads, supporting document-based applications via APIs like SODA (Simple Oracle Document Access).
B . There is a 20 GB limit on JSON collection: False. The Oracle documentation does not specify a fixed 20 GB limit on JSON collections. Storage capacity is determined by the overall database size, which can scale dynamically without a specific cap on individual collections. This makes B the false statement.
C . JSON data is stored natively in the database: True. JSON data is stored in a binary format optimized for performance, avoiding the need for parsing or transformation during access.
D . You can promote Autonomous JSON Database to Autonomous Transaction Processing: True. Oracle allows promoting an Autonomous JSON Database to ATP, enabling relational capabilities if application needs evolve.
The false claim about a 20 GB limit likely stems from confusion with other database constraints, but no such restriction exists for JSON collections in Autonomous JSON Database.
NEW QUESTION # 140
Which two statements are true about Data Insights?
Answer: C,D
Explanation:
Full Detailed In-Depth Explanation:
A: True. Data Insights works with tables and business models in ADW.
B: False. Exclusive to Autonomous Database, not on-premises.
C: True. Search history is retrievable.
D: False. Included in ADW, not separately priced.
NEW QUESTION # 141
Which two statements are true about the Oracle Cloud Infrastructure (OCI)? (Choose two.)
Answer: A,D
Explanation:
Oracle Cloud Infrastructure (OCI) is designed with a hierarchical structure to ensure high availability and fault tolerance:
Correct Answer (B): “An OCI region is a localized geographic area, and an availability domain is one or more data centers located within a region” accurately describes OCI’s architecture. A region is a standalone geographic area (e.g., US East), and availability domains (ADs) are isolated data centers within that region, enhancing resilience.
Correct Answer (D): “Because availability domains do not share infrastructure such as power or cooling, or the internal availability domain network, a failure at one availability domain within a region is unlikely to impact the availability of the others within the same region” reflects OCI’s design for fault isolation. ADs are physically separate, minimizing the risk of cascading failures.
Incorrect Options:
A: Regions are independent, not dependent, and there’s no 5,000-kilometer restriction; they are globally distributed for latency and redundancy purposes.
C: Fault domains are subdivisions within an AD, not across regions or ADs, ensuring resource isolation within a single AD.
This structure supports robust disaster recovery and high availability.
NEW QUESTION # 142
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