Free Oracle AI Autonomous Database 2025 Professional Practice Test

Your organization wants to provision an Autonomous Database that automatically scales compute resources based on workload demands without manual intervention. Which deployment option should you choose?

A data scientist needs to perform similarity searches on product descriptions stored as embeddings in Autonomous Database. Which feature should they use to efficiently query these vector embeddings?

You need to monitor the performance of SQL queries in your Autonomous Database. Which built-in tool provides real-time SQL monitoring and performance insights?

Your company requires that all data in Autonomous Database be encrypted both at rest and in transit. Which statement is true about encryption in Autonomous Database?

Which workload type should you select when provisioning an Autonomous Database for a mixed workload that includes both transaction processing and analytical queries?

A development team is building an AI-powered recommendation system that requires storing and querying millions of product embedding vectors. They need to optimize for query performance. What is the recommended approach for storing and indexing these vectors in Autonomous Database?

Your Autonomous Database is experiencing performance issues during peak hours. After analyzing Performance Hub, you discover that auto-scaling is not enabled. What is the primary benefit of enabling auto-scaling for this scenario?

A company needs to integrate their Autonomous Database with on-premises applications securely. The applications must access the database without exposing it to the public internet. Which networking option should they implement?

You are implementing Select AI functionality to enable natural language queries against your Autonomous Database. What prerequisite components must be configured?

Your organization requires point-in-time recovery capabilities for compliance purposes. You need to restore your Autonomous Database to a state from 5 days ago. Which feature enables this capability?

A financial services company is deploying Autonomous Database and needs dedicated Exadata infrastructure with full administrative control while maintaining autonomous capabilities. Which deployment option meets these requirements?

You need to implement row-level security to ensure users can only access data related to their department. Which Oracle Database feature should you use in Autonomous Database?

A retail company wants to perform semantic search on customer reviews to find products with similar customer sentiment. They have generated embeddings for each review. Which vector distance metric is most appropriate for measuring semantic similarity?

Your application requires loading large volumes of data from Object Storage into Autonomous Database daily. Which method provides the fastest and most efficient data loading?

During a security audit, you need to demonstrate that your Autonomous Database meets requirements for encrypting sensitive data with customer-managed keys. Which Oracle Cloud Infrastructure service integration enables this capability?

An e-commerce company has implemented vector search for product recommendations. Users report that searches are slow despite having vector indexes. Upon investigation, you find that the application is computing embeddings on each query. What optimization should be implemented?

Your organization is planning to migrate a mission-critical Oracle Database to Autonomous Database. The database uses custom PL/SQL packages, Real Application Clusters (RAC), and Oracle Data Guard. Which statement accurately describes compatibility and migration considerations?

You are designing a vector search solution that requires searching across 100 million product embeddings with sub-second latency. The accuracy of top-K results is critical. Which indexing strategy should you implement?

A global enterprise needs to implement disaster recovery for their Autonomous Database with an RTO of 1 hour and RPO of 5 minutes. They require the standby database in a different region. Which solution architecture meets these requirements?

Your development team is using Select AI to query the database with natural language. Users report that the generated SQL often returns incorrect results because it doesn't understand specific business logic, such as how 'active customers' is defined (multiple criteria including purchase recency and status flags). How can you improve Select AI accuracy for these domain-specific queries?