Oracle AI Autonomous Database 2025 Professional Practice Exam 2025: Latest Questions
Test your readiness for the Oracle AI Autonomous Database 2025 Professional certification with our 2025 practice exam. Featuring 25 questions based on the latest exam objectives, this practice exam simulates the real exam experience.
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25 practice questions for Oracle AI Autonomous Database 2025 Professional
You are provisioning an Autonomous Database and want Oracle to automatically tune and scale resources for unpredictable workloads while maintaining full feature access (SQL, PL/SQL, built-in tooling). Which workload type should you choose during provisioning?
Your team wants to use vector similarity search in Autonomous Database for semantic retrieval. What is the first database object you must create to store embedding vectors alongside business data?
A developer cannot connect to an Autonomous Database using a wallet-based connection string. The error indicates the client cannot find the correct network configuration files. Which local files are required for typical wallet-based connectivity?
A security administrator wants to ensure application users can only see rows belonging to their department without changing the application SQL. Which Autonomous Database capability best addresses this requirement?
You want to implement retrieval-augmented generation (RAG) with Autonomous Database as the retrieval layer. Which query pattern best supports semantic retrieval of the top-k most relevant documents using embeddings?
A nightly batch job intermittently slows down interactive users on an Autonomous Database. You want to reduce impact without rewriting the application logic. What is the best approach?
You are designing network access for an Autonomous Database that must not be publicly reachable from the internet. Which design is the recommended approach?
Your organization wants to avoid hardcoding database credentials in microservices that connect to Autonomous Database. Which approach is the best practice?
After loading new documents and their embeddings, your semantic search results look stale and do not include recently inserted rows. You verified commits occurred. Which is the MOST likely cause in a vector-search architecture and the best corrective action?
A regulated workload requires that DBAs can administer performance and availability but must not be able to view sensitive column values in application tables. Which design best satisfies this separation-of-duties requirement in Autonomous Database?
You provision a new Autonomous Database and want to ensure that all database backups are isolated from the database itself to reduce the blast radius of a compromised account. Which built-in capability most directly provides this separation by default?
A developer wants to run semantic search over product descriptions using embeddings stored in the database. Which statement best describes the recommended approach in Oracle AI Autonomous Database?
Your team needs to allow an analytics tool to connect to Autonomous Database without managing wallet files on user laptops. Which connection approach best meets this requirement?
A retail application uses vector search for product recommendations. After loading new embeddings, query latency becomes inconsistent. The table contains millions of vectors and is queried with k-nearest-neighbor searches. What is the most appropriate first step to stabilize performance?
You need to migrate a transactional schema from an on-prem Oracle database to Autonomous Transaction Processing (ATP) with minimal downtime. You can tolerate a brief cutover window but must keep changes synchronized until cutover. Which approach is most appropriate?
A team wants to integrate an LLM-powered assistant that answers questions using enterprise documents stored in the database. They plan to implement retrieval-augmented generation (RAG). Which design best aligns with Oracle AI Autonomous Database capabilities?
Operations reports show periodic spikes in CPU utilization for an Autonomous Data Warehouse workload. You suspect a small number of SQL statements are responsible. Which Autonomous Database feature is the best starting point to identify and diagnose the top resource-consuming SQL?
A security policy requires that application users can query only rows belonging to their business unit, and the rule must apply regardless of the client tool used (BI tool, SQL worksheet, or custom app). Which Autonomous Database capability best enforces this consistently?
You are designing a highly available application across multiple OCI regions. The database must continue serving reads if the primary region becomes unavailable, and the solution should minimize management overhead. Which architecture best fits Autonomous Database capabilities?
A vector search application returns relevant results but occasionally misses near-duplicate items that should rank highly. You discover that different teams used different embedding models and dimensions when generating vectors, and they were inserted into the same table/column. What is the best corrective action?
A development team wants to allow analysts to query an Autonomous Database from a corporate network where direct inbound access is not permitted. The analysts will use desktop SQL tools. Which approach is the best practice for enabling secure connectivity without opening the database to the public internet?
A data engineer loads new records daily into a table that is used by a vector search application. Users report that recent items are missing from similarity search results, even though the rows exist in the table. Which is the most likely cause?
A team enables auto-scaling on an Autonomous Database to handle unpredictable workload spikes. During a load test, the database scales up as expected, but query latency remains high. Which action is the BEST next step to diagnose the bottleneck using built-in tooling?
An application uses Retrieval-Augmented Generation (RAG) with vectors stored in Autonomous Database. The security team requires that the application can only read vectors for documents belonging to the user's department, enforced in the database regardless of the application logic. What is the BEST database-centric approach?
A company must ingest data from object storage into an Autonomous Database nightly. They need an approach that minimizes credential sprawl and avoids embedding long-lived access keys in scripts. Which solution is the BEST fit?
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Oracle AI Autonomous Database 2025 Professional 2025 Practice Exam 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.
The Oracle AI Autonomous Database 2025 Professional Practice Exam 2025 includes updated questions reflecting the current exam format, new topics added in 2025, and the latest question styles used by Oracle.
Yes, all questions in our 2025 Oracle AI Autonomous Database 2025 Professional practice exam are updated to match the current exam blueprint. We continuously update our question bank based on exam changes.
The 2025 Oracle AI Autonomous Database 2025 Professional exam may include updated topics, revised domain weights, and new question formats. Our 2025 practice exam is designed to prepare you for all these changes.
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