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Oracle 1Z0-931-25 Exam Syllabus Topics:

Topic
Details

Topic 1

Autonomous Database Tools: This section of the exam measures the skills of Data Analysts and covers the tools available within Autonomous Databases for advanced data processing and analytics. It includes Oracle Machine Learning, APEX, and SQL Developer Web for database development, as well as data transformation, business model creation, data insights, and data analysis, allowing analysts to extract valuable insights from large datasets.

Topic 2

Autonomous Database Shared: This section of the exam measures the skills of Cloud Engineers and focuses on creating and managing shared Autonomous Database instances. It includes provisioning, scaling, and starting or stopping instances, as well as database consolidation with Elastic Resource Pools. It also covers user management, cloning, database migration, monitoring, backup and restore processes, and introduces Data Guard for high availability, ensuring cloud engineers can maintain optimal database performance.

Topic 3

Autonomous Database Dedicated: This section of the exam measures the skills of IT Architects and explores the workflows and functionality of Autonomous Database Dedicated and Autonomous Database Cloud@Customer. It includes provisioning dedicated resources, setting up OCI policies, monitoring infrastructure, scheduling maintenance tasks such as patching, and managing encryption keys for enhanced security. IT Architects will learn how to integrate dedicated database environments within their cloud strategy.

Topic 4

Managing and Maintaining Autonomous Database: This section of the exam measures the skills of Database Administrators and focuses on the ongoing management and maintenance of Autonomous Database instances. It includes using REST APIs and OCI CLI for automation, configuring access control lists and private endpoints, monitoring performance, setting up notifications, utilizing features like auto-indexing and data safe, handling connectivity through wallets and service handles, and configuring disaster recovery using Data Guard to ensure business continuity.

Topic 5

Developing on Autonomous Database: This section of the exam measures the skills of Application Developers and focuses on developing and extending applications using Autonomous Database. It covers using generative AI for natural language queries, Autonomous JSON Database, Oracle Text for document search, location-based analysis with Autonomous Spatial, Autonomous Graph for data relationships, and integration with Object Storage, enabling developers to build intelligent, scalable applications.

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Oracle Autonomous Database Cloud 2025 Professional Sample Questions (Q100-Q105):

NEW QUESTION # 100
Which statement is true about the use of Access Control Lists (ACLs) with an Autonomous Database on Shared Infrastructure?

A. An ACL can be set up for an IP Address or a virtual cloud network but not both at the same time
B. An ACL can only be set during the creation of an Autonomous Database on Shared Infrastructure
C. ACLs can only be used with private endpoints
D. When you restore a database, the existing ACLs are not overwritten by the restore.

Answer: D

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 # 101
Which three are use cases for Graph Studio? (Choose three.)

A. Churn analysis
B. 3-D modelling
C. Pattern matching
D. Clustering
E. Facial recognition

Answer: A,C,D

Explanation:
Graph Studio in Autonomous Database supports graph-based analysis:
Correct Answer (C): Pattern matching identifies relationships (e.g., fraud rings) using graph queries like PGQL.
Correct Answer (D): Clustering groups related nodes (e.g., communities) using graph algorithms.
Correct Answer (B): Churn analysis leverages graph relationships to predict customer loss (e.g., via influence networks), though less emphasized than C and D, it's a valid use case.
Incorrect Options:
A: Facial recognition is image-based, not graph-based.
E: 3-D modelling is a misinterpretation; it's not a primary graph use case.
These align with Graph Studio's strengths in relationship analysis.

NEW QUESTION # 102
Which two infrastructure types support deployment of Oracle Autonomous Database? (Choose two.)

A. Shared Exadata Infrastructure
B. Dedicated Exadata Infrastructure
C. Virtual Machines on Oracle Cloud Infrastructure
D. Oracle Bare Metal Servers

Answer: A,B

Explanation:
Oracle Autonomous Database is designed to run on specific infrastructure optimized for its managed capabilities:
Correct Answer (B): Dedicated Exadata Infrastructure provides a fully dedicated Exadata system for a single tenant, offering maximum isolation, performance, and customization (e.g., maintenance scheduling).
Correct Answer (D): Shared Exadata Infrastructure allows multiple Autonomous Database instances to share Exadata resources, providing a cost-effective option for smaller workloads while retaining automation benefits.
Incorrect Options:
A: Virtual Machines (VMs) on OCI are not a supported deployment platform for Autonomous Database. It requires Exadata hardware for its self-managing features, unlike traditional OCI VMs used for manual database setups.
C: Oracle Bare Metal Servers are not used for Autonomous Database; they lack the specialized Exadata architecture needed for its autonomous operations.
These infrastructure types ensure high performance and scalability tailored to Autonomous Database's requirements.

NEW QUESTION # 103
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?

A. For databases on dedicated Exadata infrastructure, the maximum number of cores is limited by the number of free cores that are not being used by other auto scaling databases to meet high-load demands.
B. The base number of OCPU cores allocated to a database is not guaranteed.
C. For databases on dedicated Exadata infrastructure, the maximum number of cores available to a database depends on the total number of cores available in the Exadata infrastructure instance.
D. Auto Scaling is enabled by default and can be enabled or disabled at any time.

Answer: B

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 # 104
Which statement is correct about the Service Console in an Autonomous Database?

A. You can use the Service Console to move Autonomous DB between compartments.
B. You can use the Service Console to create manual backups of Autonomous Database.
C. You can use the Service Console to manage runaway SQL statements on Autonomous DB.
D. You can use the Service Console to enable or disable auto-scaling of Autonomous DB.

Answer: C

Explanation:
Full Detailed In-Depth Explanation:
The Service Console in Autonomous Database is for database-level management:
A: False. Auto-scaling is managed via OCI console.
B: True. It allows monitoring and terminating runaway SQL statements.
C: False. Compartment moves are OCI console tasks.
D: False. Manual backups are initiated via OCI or SQL*Plus.

NEW QUESTION # 105
......

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