Oracle AI Database Administration Associate Intermediate Practice Exam: Medium Difficulty 2025

A database administrator needs to configure automatic storage management for a new Oracle Database 23ai instance that will handle AI workloads with large vector data. The system requires high availability and optimal performance for both transactional and analytical operations. Which storage configuration approach would best meet these requirements?

Your organization is implementing AI Vector Search to enable semantic similarity searches across product descriptions. After creating a vector index on the embeddings column, queries are running slower than expected. Analysis shows that the index is being fully scanned. What is the most likely cause and solution?

A development team wants to expose database tables as REST APIs while maintaining synchronization with traditional SQL access patterns. They need to ensure that changes made through the REST API are immediately visible to SQL queries and vice versa. Which Oracle Database 23ai feature best addresses this requirement?

During a security audit, you discover that an application accessing AI-powered features needs to query vector embeddings and perform similarity searches, but should not have access to the original sensitive text data used to generate those embeddings. How should you configure access control?

An application uses JSON Relational Duality Views to manage customer orders. The development team reports that UPDATE operations through the duality view are failing with constraint violations, even though the JSON documents appear valid. Investigation shows the JSON includes nested order items. What is the most likely cause?

Your organization is implementing a vector similarity search solution for a knowledge base containing 50 million document embeddings. Query performance requirements specify that 95% of searches must return results within 100ms. Which combination of approaches would best meet this requirement?

A DBA needs to monitor the performance of AI Vector Search queries in production. Several user complaints indicate inconsistent query response times for similar searches. Which combination of monitoring approaches would best identify the root cause?

An application development team is designing a microservices architecture where each service needs both document-oriented JSON access and SQL access to shared customer data. They want to avoid data duplication and ensure ACID transaction guarantees across both access patterns. What Oracle Database 23ai capability should the architect recommend?

After implementing AI Vector Search functionality, the DBA notices that the database instance is experiencing increased memory pressure during peak hours when vector similarity searches are most frequent. The initialization parameter PGA_AGGREGATE_TARGET is set to 2GB. What is the most appropriate action to address this issue?

A company wants to implement real-time anomaly detection using vector embeddings of system logs. The solution requires comparing incoming log embeddings against historical patterns using similarity search. Security requirements mandate that only authorized analysts can view the actual log content, but the anomaly detection system needs access to embeddings. How should this be architected?