Free Oracle 1Z0-931-25 Exam Actual Questions & Explanations

Last updated on: Jun 4, 2026
Author: Elijah Torres (Oracle Database Certification Specialist)

The Oracle Autonomous Database Cloud 2025 Professional exam (1Z0-931-25) validates your ability to design, deploy, and manage autonomous database solutions within Oracle Cloud and Oracle Database environments. This certification is ideal for database administrators, cloud architects, and engineers who work with Oracle's self-managing database technology. This landing page provides a structured study roadmap, covers the exam syllabus, and guides you through effective preparation strategies to build confidence and competency.

1Z0-931-25 Exam Syllabus & Core Topics

Use this topic map to guide your study for Oracle 1Z0-931-25 (Oracle Autonomous Database Cloud 2025 Professional) within the Oracle Cloud and Oracle Database path.

  • Getting Started with Autonomous Database: Understand the core architecture, deployment models, and foundational concepts of Oracle Autonomous Database. You must be able to identify use cases, licensing options, and how autonomous features reduce operational overhead.
  • Managing and Maintaining Autonomous Database: Learn to perform routine administrative tasks including user management, backup and recovery, patching, and performance tuning. Candidates should be able to configure security policies, manage storage, and respond to alerts and metrics.
  • Autonomous Database Tools: Master the tools and interfaces used to interact with autonomous databases, including the Oracle Cloud Console, SQL Developer, and command-line utilities. You must know when to use each tool and how to navigate common workflows.
  • Autonomous Database Shared: Explore the shared infrastructure model, resource allocation, and multi-tenant considerations. Understand how to provision, scale, and isolate workloads in a shared environment while maintaining security and performance.
  • Migrating to Autonomous Database: Learn migration strategies, data transfer methods, and validation techniques for moving existing databases to Oracle Autonomous Database. Be able to assess compatibility, plan cutover, and minimize downtime.
  • Autonomous Database Dedicated: Understand the dedicated infrastructure option, including deployment, resource management, and high-availability configurations. Know how to provision and manage dedicated exadata environments.
  • Developing on Autonomous Database: Learn application development best practices, connection pooling, security considerations, and how to optimize queries and code for autonomous environments. Be familiar with supported languages, drivers, and frameworks.

Question Formats & What They Test

The 1Z0-931-25 exam uses multiple question formats to assess both theoretical knowledge and practical decision-making skills. Questions progress in difficulty and reflect real-world scenarios that professionals encounter when working with Oracle Autonomous Database.

  • Multiple choice: Test your understanding of core definitions, feature behavior, terminology, and best practices. These items validate foundational knowledge of autonomous database concepts and capabilities.
  • Scenario-based items: Present real-world situations where you must analyze requirements, evaluate trade-offs, and select the best approach. Examples include choosing between shared and dedicated deployments, planning a migration strategy, or troubleshooting a performance issue.
  • Configuration and decision items: Require you to configure settings, interpret system output, or recommend solutions based on specific constraints. These test your ability to apply knowledge to practical problems.

Questions increase in complexity as you progress, requiring you to connect concepts across multiple topics and apply critical thinking to unfamiliar scenarios.

Preparation Guidance

An effective study plan breaks the syllabus into manageable weekly goals, combines concept review with hands-on practice, and includes regular self-assessment. Allocate time proportionally to each topic, with extra focus on areas that align with your current role and experience gaps.

  • Map the seven core topics to weekly study blocks. For example, dedicate week one to Getting Started and Autonomous Database Tools, week two to Shared and Dedicated models, week three to Managing and Maintaining, and weeks four through five to Migration and Development topics.
  • Practice question sets regularly; review detailed explanations for both correct and incorrect answers to identify knowledge gaps and reinforce understanding.
  • Connect concepts across topics by working through end-to-end scenarios. For instance, trace how a migration project touches Getting Started, Migration, and Development topics, and how ongoing management applies across all models.
  • Complete a timed practice test under exam conditions to build pacing, reduce anxiety, and identify areas needing last-minute review.
  • In the final week, focus on weak topics, review key terminology, and do a second timed practice test to confirm readiness.

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Get the PDF & Practice Test

Strengthen your preparation with up-to-date resources from validexamdumps.com. These materials align to 1Z0-931-25 and cover practical scenarios with clear explanations.

  • Q&A PDF with explanations: Topic-mapped questions that clarify why correct options are right and others aren't, helping you understand the reasoning behind each answer.
  • Practice Test: Realistic items in timed and untimed modes, progress tracking, and detailed review to simulate exam conditions and measure your readiness.
  • Focused coverage: Aligned to Getting Started with Autonomous Database, Managing and Maintaining Autonomous Database, Autonomous Database Tools, Autonomous Database Shared, Migrating to Autonomous Database, Autonomous Database Dedicated, and Developing on Autonomous Database so you study what matters most.
  • Regular updates: Content refreshes that reflect syllabus changes and product updates to keep your preparation current.

Visit the exam page to download the PDF, Online Practice Test, or get a bundle discount for both formats: Oracle Autonomous Database Cloud 2025 Professional.

Frequently Asked Questions

Which topics carry the most weight on the 1Z0-931-25 exam?

Managing and Maintaining Autonomous Database and Migrating to Autonomous Database typically account for a larger portion of the exam, as these areas reflect core professional responsibilities. However, all seven topics are tested, so balanced preparation across the full syllabus is essential for success.

How do the seven topics connect in a real project workflow?

A typical project starts with Getting Started concepts to understand requirements and licensing, moves through Migrating to Autonomous Database to plan the transition, then relies on Managing and Maintaining for ongoing operations. Development topics apply when building applications, while Shared and Dedicated models inform infrastructure decisions. Tools are used throughout every phase.

How much hands-on experience is necessary, and which labs should I prioritize?

Hands-on experience significantly improves retention and confidence. Prioritize labs that cover provisioning an autonomous database, performing basic administration tasks (user creation, backups), running queries, and executing a simple migration scenario. Access to Oracle Cloud's free tier or trial account allows you to practice these workflows without cost.

What common mistakes cause candidates to lose points?

Candidates often confuse shared versus dedicated deployment models, overlook security and compliance requirements in migration scenarios, and misunderstand the role of automation in autonomous databases. Additionally, rushing through scenario-based questions without fully analyzing the requirements leads to incorrect choices. Take time to read each question carefully and consider all constraints.

What is an effective review strategy for the final week before the exam?

In the final week, focus on your weakest topics identified during practice tests, review key terminology and feature names, and complete one more full-length timed practice test. Avoid learning new material; instead, reinforce what you have already studied and build confidence through targeted review of challenging areas.

Get All 149 Questions
Question No. 1

For fleet admins to access dedicated Exadata infrastructure, which policy should be assigned?

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Correct Answer: B

Fleet administrators managing dedicated Exadata infrastructure in Oracle Autonomous Database require broad permissions across all Autonomous Database resources, including those on dedicated infrastructure.

Correct Answer (B): The policy Allow group adb-admins to manage autonomous-database-family in tenancy grants comprehensive management rights over the entire Autonomous Database family, including dedicated Exadata infrastructure. The autonomous-database-family resource type encompasses all Autonomous Database resources (shared and dedicated) within the tenancy, making it suitable for fleet admins.

Incorrect Options:

A: Limits permissions to databases with the OLTP workload type (Autonomous Transaction Processing), excluding Data Warehouse (DW) or other types on dedicated infrastructure.

C: Restricts access to DW workload types only, omitting OLTP and other configurations.

D: Grants permissions only to autonomous-database resources, which may not fully cover dedicated infrastructure components like Autonomous Container Databases or Exadata Infrastructure.

This policy ensures fleet admins have the necessary scope to manage all aspects of dedicated deployments.


Question No. 2

You are the admin user of an Autonomous Database instance. A new business analyst has joined the team and would like to explore the Autonomous Database tables using Autonomous Database's Data Tools. Which step should you perform to enable the new team member?

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Correct Answer: A

Full Detailed In-Depth Explanation:

To enable a business analyst to use Autonomous Database Data Tools (e.g., Data Load, SQL Developer Web), specific permissions are required:

REST-enabled user: Data Tools rely on REST APIs, necessitating a user with REST support enabled.

Connect and object privileges: These allow database access and interaction with tables.

DWROLE role: This predefined role grants a comprehensive set of privileges for data analysis tasks in Autonomous Data Warehouse (ADW), including SELECT, EXECUTE, and data loading capabilities.

Evaluating the options:

A: Correct. Creating a REST-enabled user with connect/object privileges and granting DWROLE ensures full access to Data Tools, tailored for ADW exploration.

B: Incorrect. Default privileges are minimal and insufficient for Data Tools usage.

C: Incorrect. While connect, resource, and object privileges provide basic access, they lack the REST enablement and DWROLE's specific analysis permissions.

D: Incorrect. An IDCS (Identity Cloud Service) user is for OCI authentication, not database-level access, and this step overcomplicates the process.


Question No. 3

Which is NOT needed to manage Oracle Autonomous Database with REST APIs?

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Correct Answer: D

Managing Autonomous Database via REST APIs relies on OCI authentication:

Correct Answer (D): ''Database ADMIN password'' is not needed. REST API access uses OCI IAM credentials, not database-level credentials like the ADMIN password.

Required Items:

A: User's OCID identifies the API caller.

B: Tenancy's OCID specifies the cloud environment.

C: Fingerprint of the public key authenticates API requests with a private-public key pair.

This ensures secure, external management without exposing database credentials.


Question No. 4

You want to enable automatic indexing in a database, but any new auto indexes should be created as invisible indexes, so that they cannot be used in SQL statements. Which command will you use?

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Correct Answer: C

Oracle's automatic indexing feature, available in Autonomous Database, optimizes query performance by creating and managing indexes. The requirement here is to enable it but ensure new indexes are invisible (not used by the optimizer unless explicitly made visible). The correct command is:

EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','REPORT ONLY') (C): The REPORT ONLY mode enables automatic indexing, where the database identifies and creates candidate indexes based on workload analysis. However, these indexes are created as invisible by default, meaning the optimizer does not use them in SQL execution plans unless a DBA manually makes them visible (e.g., via ALTER INDEX ... VISIBLE). This mode is ideal for testing or validation without impacting production queries. For example, if a query frequently filters on a column, an invisible index might be created, but it won't affect performance until explicitly activated.

The incorrect options are:

EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','IMPLEMENT') (A): The IMPLEMENT mode fully enables automatic indexing, creating and maintaining visible indexes that the optimizer uses immediately. This contradicts the requirement for invisible indexes.

EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','OFF') (B): The OFF mode disables automatic indexing entirely, so no indexes (visible or invisible) are created, failing the requirement to enable it.

EXEC DBMS_AUTO_INDEX.CONFIGURE('AUTO_INDEX_MODE','INVISIBLE') (D): There is no INVISIBLE mode in DBMS_AUTO_INDEX.CONFIGURE. While indexes can be set as invisible individually, this is not a valid configuration option for the auto-indexing feature.

The REPORT ONLY mode provides a controlled approach, allowing index creation for analysis without immediate deployment. This is particularly useful in Autonomous Database, where automation is balanced with DBA oversight.


Question No. 5

Which four file formats are supported when loading data from Cloud Storage?

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Correct Answer: B, C, E, F

Full Detailed In-Depth Explanation:

Supported formats:

A: False. DDL is a language, not a data format.

B: True. AVRO is supported for structured data.

C: True. Parquet is optimized for analytics.

D: False. DOC is not supported.

E: True. JSON is flexible for semi-structured data.

F: True. CSV is widely used for tabular data.


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