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.
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.
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.
Questions increase in complexity as you progress, requiring you to connect concepts across multiple topics and apply critical thinking to unfamiliar scenarios.
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.
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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.
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.
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.
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.
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.
Which set of Oracle Cloud Infrastructure metrics is available only for Autonomous Database on Dedicated Infrastructure?
Autonomous Database on Dedicated Infrastructure provides unique metrics due to its Exadata underpinnings:
Correct Answer (C): ''IOPS, Storage used by tablespace, Apply and Transport Lag'' are specific to dedicated deployments:
IOPS: Measures input/output operations per second, reflecting Exadata storage performance.
Storage used by tablespace: Tracks storage allocation at the tablespace level, unique to dedicated infrastructure's granular control.
Apply and Transport Lag: Relevant for Data Guard configurations, showing replication delays, available only in dedicated setups with standby databases.
Incorrect Options:
A: Transaction Count, Running Statements, and Sessions are general metrics available in both shared and dedicated environments.
B: CPU and Storage Utilization are standard across all Autonomous Database types.
D: Query Latency, User Calls, and Execute Count are also common metrics, not exclusive to dedicated infrastructure.
These metrics offer deeper insights into dedicated Exadata performance.
Which statement is FALSE regarding provisioning an Autonomous Database and configuring private endpoints with security rules to allow incoming and outgoing traffic to and from the Autonomous Database instance?
Configuring private endpoints for Autonomous Database involves network security rules. The false statement is:
A stateless ingress rule is created to allow connections from the source to the Autonomous Database instance (C): This is incorrect. For Autonomous Database private endpoints, security rules (e.g., in Security Lists or NSGs) must be stateful, not stateless. Stateful rules track connection states (e.g., allowing return traffic automatically), which is necessary for Oracle Net Services (SQL*Net) communication over TCP. A stateless rule requires explicit ingress and egress rules for both directions, complicating setup and risking connectivity issues. For example, a stateful ingress rule from a client subnet (e.g., 10.0.1.0/24) to the ADB subnet ensures bidirectional traffic works seamlessly without additional egress rules.
The true statements are:
The IP Protocol is set to TCP (A): Autonomous Database uses TCP for database connections, aligning with Oracle Net Services standards.
The destination port range is set to 1522 (B): Port 1522 is the default for secure TLS connections to Autonomous Database, as specified in the client wallet's tnsnames.ora.
The source is set to the address range you want to allow to connect to your database (D): The security rule defines the source CIDR block (e.g., 10.0.0.0/16) of allowed clients, restricting access to specific subnets or VCNs.
Stateful rules simplify and secure private endpoint configurations.
Which two objects are imported when using Data Pump to migrate your Oracle Database to Autonomous Database? (Choose two.)
Data Pump is a standard tool for migrating databases, including to Autonomous Database:
Correct Answer (A): Data is imported, encompassing table contents and other data objects, ensuring all records are transferred to the target Autonomous Database.
Correct Answer (B): Schemas are imported, including schema definitions (tables, views, indexes, etc.) and their metadata, preserving the database structure.
Incorrect Options:
C: Tablespaces are not imported directly. Autonomous Database manages its own storage internally, automatically mapping imported data to its storage architecture without requiring tablespace definitions from the source.
D: Reports are not database objects and are not part of the Data Pump migration process; they are typically generated separately post-migration.
This ensures a complete and functional migration of data and structure.
Which is a feature of a graph query language?
Graph query languages, like Oracle's Property Graph Query Language (PGQL), are designed for graph databases:
Correct Answer (D): ''Ability to specify patterns'' is a defining feature. Graph queries excel at defining and matching patterns (e.g., nodes and edges) to explore relationships, such as finding paths or subgraphs, critical for applications like social network analysis or fraud detection.
Incorrect Options:
A: Key-value queries are typical of NoSQL key-value stores, not graph databases.
B: While scripting may be possible in some contexts, it's not a core feature of graph query languages.
C: Graph query languages are not inherently object-oriented; they focus on relational graph structures.
This pattern-matching capability distinguishes graph queries from other query paradigms.
Which Database Actions tool is used to get information about the entities in your Oracle Autonomous Database and to also see how changing an object affects other objects?
Database Actions (formerly SQL Developer Web) offers tools for database management:
Correct Answer (A): The Catalog tool provides a detailed view of database entities (tables, views, schemas) and their metadata, including dependencies via the ''Impact'' tab. It helps assess how changes (e.g., dropping a table) affect related objects.
Incorrect Options:
B: Data Load is for importing data, not analyzing entities or dependencies.
C: JSON is a data format, not a tool; it's supported but irrelevant here.
D: Data Insight is a separate analytics service, not part of Database Actions.
Catalog is essential for metadata exploration and impact analysis.