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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 |
| Database Management and Operations | 25% | - Perform patching, upgrades and lifecycle management - Configure auto-scaling and storage management - Implement backup, recovery and high availability strategies - Monitor and manage database performance and resources |
| AI Features and Capabilities | 30% | - Apply AI-assisted performance tuning and optimization - Implement Select AI for natural language to SQL generation - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database |
| Autonomous Database Architecture and Provisioning | 25% | - Provision and configure Autonomous Database on dedicated infrastructure - Provision and configure Autonomous Database on shared infrastructure - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Describe Autonomous Database architecture and core components |
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NEW QUESTION # 95
Autonomous Database's auto scaling feature allows your database to use up to three times the current base number of OCPU cores at any time. As demand increases, auto scaling automatically increases the number of cores in use. Likewise, as demand drops, auto scaling automatically decreases the number of cores in use. Which statement is FALSE regarding the auto scaling feature?
Answer: D
Explanation:
Auto scaling in Autonomous Database dynamically adjusts OCPU usage up to three times the base allocation. Let’s evaluate each statement:
Correct Answer (C): “The base number of OCPU cores allocated to a database is not guaranteed” is false. The base OCPU count, set during provisioning or manual scaling, is always guaranteed as the minimum available resource, even with auto scaling enabled. Auto scaling only increases usage above this baseline when needed.
True Statements:
A: On dedicated Exadata, the max cores for auto scaling are constrained by available free cores not used by other databases, ensuring resource fairness.
B: The total cores in the Exadata instance define the upper limit for any database’s auto scaling capacity.
D: Auto scaling is not enabled by default (must be explicitly activated) and can be toggled on/off, though this statement’s phrasing could be clearer—it’s still true in context.
This guarantees predictable minimum performance while allowing flexibility for peak loads.
NEW QUESTION # 96
Which three methods can be used to migrate your existing Oracle database to Autonomous Database? (Choose three.)
Answer: A,C,D
Explanation:
Migrating to Autonomous Database requires robust tools:
Correct Answer (B): Oracle Zero Downtime Migration (ZDM) minimizes downtime by synchronizing data and schema changes while the source remains online, ideal for critical systems.
Correct Answer (C): GoldenGate provides real-time replication, enabling near-zero downtime migration by continuously syncing data to Autonomous Database.
Correct Answer (D): Data Pump exports data and schema to dump files, which are then imported into Autonomous Database, suitable for offline migrations.
Incorrect Options:
A: SFTP with CSV files is not a comprehensive migration method; it lacks schema migration and automation for complex databases.
E: RMAN is for backup/restore, not optimized for full migrations to Autonomous Database’s managed environment.
These methods cater to different migration needs (online vs. offline).
NEW QUESTION # 97
Which set of options can be specified when defining the preferred maintenance schedule of the Exadata Infrastructure for Autonomous Database Dedicated?
Answer: C
Explanation:
Defining a maintenance schedule for Dedicated Exadata Infrastructure allows customization:
Correct Answer (B): “Month of the Quarter, Week of the Month, Day of the Week, Start Hour” is the correct set. For example, you can specify “Month 2 of Q1, Week 3, Wednesday, 02:00 AM,” aligning with quarterly planning while offering weekly and daily precision.
Incorrect Options:
A: “Quarter of the Year” and “Date of the Month” are less flexible than week-based options and not the standard format.
C: “Month of the Year” skips the quarterly structure used in dedicated maintenance.
D: Omits “Month of the Quarter,” reducing granularity.
This flexibility minimizes disruption for dedicated deployments.
NEW QUESTION # 98
Which predefined service connection should you use when running lots of high concurrent queries in an Autonomous Database?
Answer: A
Explanation:
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.
NEW QUESTION # 99
Which can be scaled independently of the number of CPUs in an Autonomous Database?
Answer: E
Explanation:
Autonomous Database allows independent scaling of certain resources:
Correct Answer (B): “Storage” can be scaled independently of OCPUs via the OCI Console or API, adjusting capacity (e.g., from 1 TB to 2 TB) without altering compute resources.
Incorrect Options:
A: Sessions depend on CPU and memory limits, not independently scalable.
C: Memory scales with OCPUs in a fixed ratio, not separately.
D, E: Concurrency and parallelism are tied to CPU resources and consumer group settings.
This flexibility optimizes cost and capacity management.
NEW QUESTION # 100
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