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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implementing Autonomous Database Dedicated Deployments | 20% | - Apply security and isolation features - Manage dedicated deployment resources - Configure Autonomous Database Dedicated Infrastructure |
| Topic 2: Migration and Data Integration Strategies | - Use data integration and migration tools - Plan and execute database migration strategies | |
| Topic 3: Managing, Monitoring, and Optimizing Autonomous Database Performance | 20% | - Monitor database performance and resource usage - Manage backup, recovery, and availability features - Optimize workloads and database performance |
| Topic 4: Implementing Autonomous Database Fundamentals | - Provision and configure Autonomous Database services - Understand Autonomous Database automation capabilities - Describe Autonomous Database architecture and key features | |
| Topic 5: Applying Select AI Capabilities | - Use natural language queries with generative AI capabilities - Configure and use Select AI features | |
| Topic 6: Designing Unified Data Management and AI Analytics Solutions | - Apply analytics and AI-driven data solutions - Implement JSON, graph, spatial, and text data capabilities - Use data sharing and integration features | |
| Topic 7: Implementing Model Context Protocol (MCP) Server Integration | - Understand MCP Server integration concepts - Integrate AI applications with Autonomous Database services | |
| Topic 8: Using Autonomous Database Tools | - Use Oracle Database tools and management interfaces - Use Oracle APEX and Oracle Machine Learning with Autonomous Database | |
| Topic 9: Applying Autonomous Database Serverless Architectures | - Manage compute resources and auto scaling - Implement connectivity and access methods - Configure Autonomous Database Serverless environments |
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NEW QUESTION # 92
Which set of options can be specified when defining the preferred maintenance schedule of the Exadata Infrastructure for Autonomous Database Dedicated?
Answer: B
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 # 93
You need to create a new database by using the Oracle Cloud Infrastructure (OCI) Command Line Interface (CLI) with the following requirements: Autonomous Transaction Processing, License Included, Shared Infrastructure. Which parameter would you NOT use?
Answer: D
Explanation:
Creating an Autonomous Transaction Processing (ATP) database via OCI CLI requires specific parameters:
Correct Answer (A): db-type is not a standard OCI CLI parameter for provisioning an Autonomous Database. The CLI uses parameters like db-workload to specify the type (e.g., ATP).
Used Parameters:
B: is-dedicated must be set to false for shared infrastructure.
C: db-workload is set to OLTP for ATP.
D: license-model is set to LICENSE_INCLUDED per the requirement.
The correct command might look like: oci db autonomous-database create --db-name <name> --db-workload OLTP --license-model LICENSE_INCLUDED --is-dedicated false.
NEW QUESTION # 94
Which statement is FALSE about setting up compartment quotas?
Answer: B
Explanation:
Compartment quotas in Oracle Cloud Infrastructure (OCI) manage resource allocation:
Correct Answer (D): “Compartment quotas cannot be set on the root compartment” is false. Quotas can be applied to any compartment, including the root compartment, to limit resource usage tenancy-wide. While direct quotas on the root are less common (child compartment quotas are typically used), it’s technically possible via OCI policies.
True Statements:
A: Quotas offer flexible resource limits (e.g., OCPUs, storage) via policy statements.
B: Parent compartment quotas take precedence over child quotas, enforcing hierarchical control.
C: Managing quotas requires appropriate IAM permissions (e.g., manage quotas), ensuring security.
This flexibility supports granular resource management across the tenancy.
NEW QUESTION # 95
Which can be scaled independently of the number of CPUs in an Autonomous Database?
Answer: B
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 # 96
Which three options do NOT change when enabling auto scaling? (Choose three.)
Answer: A,B,D
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 # 97
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