50 Oracle AI Autonomous Database 2025 Professional Practice Questions: Question Bank 2025
Build your exam confidence with our curated bank of 50 practice questions for the Oracle AI Autonomous Database 2025 Professional certification. Each question includes detailed explanations to help you understand the concepts deeply.
Question Banks Available
Current Selection
Extended Practice
Extended Practice
Why Use Our 50 Question Bank?
Strategically designed questions to maximize your exam preparation
50 Questions
A comprehensive set of practice questions covering key exam topics
All Domains Covered
Questions distributed across all exam objectives and domains
Mixed Difficulty
Easy, medium, and hard questions to test all skill levels
Detailed Explanations
Learn from comprehensive explanations for each answer
Practice Questions
50 practice questions for Oracle AI Autonomous Database 2025 Professional
You are provisioning a new Autonomous Database for a team that needs to run ad-hoc analytics against large tables with occasional batch loads. They want minimal administration and automatic tuning. Which Autonomous Database workload type is the best fit?
A developer wants to use natural language to create and run queries against an Autonomous Database and get results without manually writing SQL. Which built-in capability best supports this requirement?
Your security team requires that database users sign in with the corporate identity provider and that you avoid managing database passwords. What is the recommended approach for Autonomous Database?
An application team asks how backups are handled in Autonomous Database and whether they must schedule RMAN jobs themselves. What is the correct statement?
You plan to implement semantic search over product descriptions using vector embeddings stored in Autonomous Database. The application must retrieve the top 20 most similar items for a given query embedding. Which approach is most appropriate?
A team wants to provision Autonomous Database so that only private network access is allowed from their VCN, with no public endpoint. What should you configure during provisioning?
After enabling features that use external AI services, your application fails with network-related errors when trying to call the external endpoint from Autonomous Database. The database is configured with private access only. What is the most likely missing component?
A sudden increase in query response time is reported. You suspect a poorly performing SQL statement started consuming excessive resources. Which Autonomous Database capability is best suited to quickly identify the top SQL consumers and their impact?
You are building a Retrieval-Augmented Generation (RAG) pipeline in Autonomous Database. Product documents are chunked and embedded. Users need citations pointing back to the original document section that matched the answer. Which schema design is most appropriate?
An organization wants strict separation of duties: developers can create tables and run queries, but must not be able to change network access settings, manage encryption keys, or modify audit policies. What is the best practice approach in Autonomous Database?
You provision an Autonomous Database and want it to automatically scale CPU usage up and down based on workload without manual intervention. Which setting best meets this requirement?
A team wants to keep AI-generated vector embeddings close to relational data and perform similarity search in the same database where the transactions occur. Which Autonomous Database capability best supports this design?
You need to quickly determine whether an Autonomous Database is healthy and if there are any ongoing incidents impacting availability. Where should you check first?
A retail company wants to implement semantic search over product descriptions. They plan to store embeddings in Autonomous Database and run similarity queries with an additional filter by product category and price range. What is the best approach?
A security team requires that developers can query application schemas but cannot see sensitive columns such as national identifiers. The same tables must still be usable by the application without code changes. Which feature best satisfies this requirement in Autonomous Database?
A workload runs mixed OLTP and analytics on Autonomous Database. Recently, a single report query occasionally consumes most CPU and impacts transaction latency. What is the best Autonomous Database-oriented action to reduce the impact without rewriting the application?
You want to load data from OCI Object Storage into Autonomous Database regularly. The security team forbids storing long-lived credentials in scripts. Which is the recommended approach?
A data science team stores embeddings in Autonomous Database. They notice that similarity searches are slow after bulk loading millions of new vectors. They want to improve search performance quickly. What should they verify first?
A regulated enterprise must ensure that even database administrators cannot read sensitive application data directly, while still allowing administrators to perform database operations. Which combination best addresses this requirement in Autonomous Database?
A company runs a mission-critical application on Autonomous Database and requires continuity during a regional outage. They want a design that supports automatic failover with minimal operational overhead. Which architecture is most appropriate?
You are provisioning an Autonomous Database for a team that runs ad-hoc analytics and also schedules nightly ETL jobs. They want minimal administrative overhead and automatic scaling of compute during peaks without changing the application connection strings. Which provisioning choice best matches this requirement?
A developer wants to use vector search in Autonomous Database but is unsure how the database should store the embedding values for similarity search. Which object type is used to store an embedding for efficient vector operations?
An operations engineer needs to immediately stop runaway ad-hoc queries from consuming resources on an Autonomous Database. Which built-in capability is most appropriate to control and isolate resource usage by group of users?
A team is implementing retrieval-augmented generation (RAG). They plan to store document text and embeddings in Autonomous Database and query the top-k similar chunks. They also need to filter results by document security label stored in a relational column. Which approach best supports both similarity search and relational filtering in a single query?
A workload on Autonomous Database shows increased latency after a large data load. The team suspects statistics are stale and plans a corrective action. What is the best practice in Autonomous Database regarding optimizer statistics management after bulk loads?
A security architect needs to ensure that application users can query only rows that belong to their department, even if they connect using the same database schema. The solution must be enforceable in the database and transparent to the application SQL. Which feature should be used?
A data engineer loads JSON documents into Autonomous Database and wants to create embeddings using an external embedding model endpoint. The company requires that the database does not expose public internet access. Which design best meets the requirement while still allowing embedding generation from within the database environment?
You created a vector index to accelerate similarity search, but query performance did not improve. The execution plan shows a full scan and the vector predicate appears not to be used. Which is the most likely cause?
A company uses Autonomous Database with multiple internal teams. They want to ensure least-privilege administration: developers can create and manage objects in their own schema but cannot perform instance-level administrative actions or access other schemas’ data. Which approach best aligns with Autonomous best practices?
A mission-critical application requires a robust DR strategy. The primary Autonomous Database is in one region, and the business wants automatic failover to a standby in another region with minimal data loss and minimal manual steps. Which solution best meets these goals?
You provision an Autonomous Transaction Processing (ATP) database and must ensure application connectivity remains stable during maintenance events. Which approach is recommended to minimize connection disruptions?
Your team wants to use vector search from SQL without maintaining a separate vector database. Which database capability best satisfies this requirement?
A developer reports ORA-01017 (invalid username/password) when connecting from a laptop to an Autonomous Database. The wallet was downloaded and TNS_ADMIN was set, but the connection still fails. What is the most likely cause?
You need to restrict access to an Autonomous Database so only resources inside a specific OCI VCN can reach it. Which configuration best achieves this?
A retrieval-augmented generation (RAG) pipeline stores document chunks with embeddings in Autonomous Database. Users complain that search results are semantically close but often irrelevant due to missing business filters (region, product line). What is the best SQL pattern to improve relevance?
You manage an Autonomous Data Warehouse (ADW) used by analytics teams. They need consistent performance for interactive dashboards, while overnight batch jobs can use any remaining capacity. Which approach aligns best with Autonomous Database operational best practices?
A team wants to allow an external application to upload data files to Autonomous Database using OCI Object Storage, but security requires that no long-lived user credentials be embedded in the application. Which integration approach is most appropriate?
After loading new documents and embeddings, vector search results do not include the latest rows until much later. The data is committed, and queries can SELECT the rows directly. What is the most likely explanation and fix?
A regulated workload requires customer data to be unreadable to DBAs and infrastructure administrators, while still allowing the application to query it normally. Which feature best addresses this requirement in Autonomous Database?
You are designing a multi-tenant SaaS on Autonomous Database. Each tenant must have strong data isolation, and you need to rotate tenant encryption keys independently without downtime for other tenants. What is the best architecture choice?
You are provisioning a new Autonomous Database for a department that runs only ad-hoc analytics and wants Oracle to manage patching, backups, and tuning. Which workload type best fits this requirement?
A developer reports that their Vector Search query returns no results, even though vectors exist. You discover the application uses an INNER JOIN between the base table and the vector index metadata view, and the view has no rows due to missing privileges. What is the most appropriate fix?
You need to load data from an Object Storage bucket into Autonomous Database nightly. Security policy prohibits storing long-lived credentials in scripts. Which approach is the best practice?
A team wants to ensure that SQL performance regressions are minimized after Oracle-managed maintenance. Which Autonomous Database capability most directly helps validate and preserve SQL performance across changes?
You are designing a Retrieval-Augmented Generation (RAG) solution where the database will store document chunks and embeddings. Which table design is most appropriate to support efficient similarity search and retrieval?
A DBA must give a third-party ETL tool read-only access to a subset of tables. The tool must not be able to see other schemas or create objects. What is the best approach?
A Vector Search query is too slow after a large bulk load of new embeddings. The vector index exists, but the execution plan shows a full scan. Which action is most likely to resolve the issue with minimal disruption?
A company must ensure that even database administrators cannot view certain sensitive columns (for example, national identifiers) in clear text, while applications can still query and join on those columns. Which feature best satisfies this requirement in Autonomous Database?
You need to integrate Autonomous Database with an application running in a private subnet. The requirement is to keep all traffic private and avoid public endpoints. Which connectivity option is most appropriate?
A regulated customer requires that data exfiltration attempts be detected and blocked, including suspicious outbound queries (for example, large-scale SELECTs) even by privileged users. Which combination best addresses this in Autonomous Database?
Need more practice?
Expand your preparation with our larger question banks
Oracle AI Autonomous Database 2025 Professional 50 Practice Questions FAQs
Oracle AI Autonomous Database 2025 Professional is a professional certification from Oracle that validates expertise in oracle ai autonomous database 2025 professional technologies and concepts. The official exam code is 1Z0-931-25.
Our 50 Oracle AI Autonomous Database 2025 Professional practice questions include a curated selection of exam-style questions covering key concepts from all exam domains. Each question includes detailed explanations to help you learn.
50 questions is a great starting point for Oracle AI Autonomous Database 2025 Professional preparation. For comprehensive coverage, we recommend also using our 100 and 200 question banks as you progress.
The 50 Oracle AI Autonomous Database 2025 Professional questions are organized by exam domain and include a mix of easy, medium, and hard questions to test your knowledge at different levels.
More Preparation Resources
Explore other ways to prepare for your certification