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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Features and Capabilities | 30% | - Implement Select AI for natural language to SQL generation - Configure and use AI Vector Search - Use Oracle Machine Learning within Autonomous Database - Apply AI-assisted performance tuning and optimization |
| Topic 2: Autonomous Database Architecture and Provisioning | 25% | - Integrate Autonomous Database with Oracle Cloud Infrastructure services - Provision and configure Autonomous Database on shared infrastructure - Provision and configure Autonomous Database on dedicated infrastructure - Describe Autonomous Database architecture and core components |
| Topic 3: 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 |
| Topic 4: 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 # 60
Which statement is true about the use of Access Control Lists (ACLs) with an Autonomous Database on Shared Infrastructure?
Answer: B
Explanation:
ACLs control network access to Autonomous Database on Shared Infrastructure:
Correct Answer (B): “When you restore a database, the existing ACLs are not overwritten by the restore” is true. ACLs are part of the database’s network configuration, preserved during restore operations to maintain security settings.
Incorrect Options:
A: ACLs can include both IP addresses and VCN CIDR blocks simultaneously; they’re not mutually exclusive.
C: ACLs apply to public endpoints, not just private ones, to restrict access.
D: ACLs can be modified post-creation, not just at provisioning time.
This ensures consistent security post-restore.
NEW QUESTION # 61
While creating an Autonomous Container Database on dedicated infrastructure through the Oracle Cloud Infrastructure (OCI) console, which patch type is offered to be applied during maintenance?
Answer: D
Explanation:
When creating an Autonomous Container Database (ACD) on dedicated infrastructure, Oracle offers specific patch types for maintenance. The correct answer is:
Release Update (RU) (D): During the creation of an ACD via the OCI console, users can choose to apply a Release Update (RU), which includes the latest security patches, bug fixes, and enhancements for the database version. RUs are the standard patching mechanism for Autonomous Databases on dedicated infrastructure, ensuring the system stays current.
The incorrect options are:
Quarterly Bundle Patch (QBP) (A): QBPs are not a recognized patch type for Autonomous Databases; they are more associated with on-premises Oracle deployments, not the cloud-native Autonomous infrastructure.
Prior Release Update Revision (PRUR) (B): PRURs are minor updates to prior releases, but they are not offered as a distinct option during ACD creation; Oracle focuses on RUs for consistency.
Prior Release Update (PRU) (C): PRUs refer to updates from previous major releases, but Autonomous Databases typically apply the latest RU, not prior ones, during provisioning or maintenance.
RUs align with Oracle’s strategy for maintaining Autonomous Databases.
NEW QUESTION # 62
You have a requirement to create an Autonomous Transaction Processing database that can support at least 200 concurrent statements per OCPU as well as parallelism. Which service will you need to connect to?
Answer: A
Explanation:
Full Detailed In-Depth Explanation:
Autonomous Transaction Processing (ATP) offers predefined service levels with varying concurrency and parallelism capabilities:
MEDIUM: Supports up to 50 concurrent statements per OCPU, with no parallelism by default. Unsuitable for the requirement.
TPURGENT: Supports up to 200 concurrent statements per OCPU and enables manual parallelism. This meets both requirements (concurrency ≥ 200 and parallelism), making it the correct choice.
LOW: Supports only 25 concurrent statements per OCPU, with no parallelism. Insufficient for the requirement.
TP: Supports 125 concurrent statements per OCPU, with no parallelism by default. Falls short of the 200 concurrency threshold.
TPURGENT is designed for high-concurrency, time-sensitive workloads, providing the necessary resources and flexibility for parallel query execution, aligning perfectly with the specified needs.
NEW QUESTION # 63
Which statement is FALSE about the Catalog tool?
Answer: D
Explanation:
The Catalog tool in Autonomous Database provides metadata exploration:
Correct Answer (A): “You can delete an entity from the Autonomous Database via the Catalog tool” is false. The Catalog is a read-only interface for viewing database objects (tables, views, etc.) and their relationships; it does not support modification or deletion actions.
True Statements:
B: Filtering by name, schema, type, or application is a core search feature.
C: Viewing DDL (data definition language) for entities is supported.
D: The Impact tab shows dependencies, aiding change analysis.
This ensures safe metadata exploration without risking data changes.
NEW QUESTION # 64
Which Autonomous Database Cloud Service ignores hints in SQL statements by default?
Answer: B
Explanation:
Full Detailed In-Depth Explanation:
Oracle Autonomous Database offers two primary services: Autonomous Data Warehouse (ADW) and Autonomous Transaction Processing (ATP), each optimized for different workloads. SQL hints are directives embedded in SQL statements to influence the optimizer’s execution plan. However, their handling differs between the services:
Autonomous Data Warehouse (ADW): ADW is designed for analytical workloads and data warehousing, where query performance is critical. To ensure optimal execution, ADW’s optimizer relies heavily on its own statistics and algorithms, ignoring SQL hints by default. This behavior prevents user-provided hints from overriding the automated optimization strategies tailored for complex analytical queries.
Autonomous Transaction Processing (ATP): ATP targets transactional workloads (OLTP) and provides more flexibility. It does not ignore hints by default, allowing developers and DBAs to use hints to fine-tune query execution plans for specific transactional needs.
Thus, only ADW ignores hints by default, making option C the correct answer. Options A and B are incorrect because ATP does not share ADW’s default behavior, and option D incorrectly identifies ATP as the service that ignores hints.
NEW QUESTION # 65
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