50 Oracle AI Database Administration Associate Practice Questions: Question Bank 2025

What is the primary purpose of AI Vector Search in Oracle Database 23ai?

A database administrator needs to store vector embeddings generated by a machine learning model. Which data type should be used in Oracle Database 23ai?

In Oracle Database 23ai, what does JSON Relational Duality enable developers to do?

Which Oracle Database 23ai feature allows you to define a JSON document view over existing relational tables?

A company is implementing vector search for their customer service chatbot to find similar historical support tickets. They have 5 million ticket descriptions stored as 1536-dimensional vectors. Which index type should they create for optimal similarity search performance?

When creating a Duality View in Oracle Database 23ai, a DBA notices that updates through the JSON interface are failing with constraint violations. What is the most likely cause?

A database administrator needs to monitor the performance of vector similarity searches in production. Which distance metric calculation is typically fastest for high-dimensional vectors while still providing good accuracy?

An application uses JSON Relational Duality Views to manage order data. The development team reports that when they insert a new order through the JSON interface, the system automatically generates order IDs. What feature enables this behavior?

A financial services company needs to implement vector search for fraud detection while ensuring that vector embeddings of transaction patterns are encrypted at rest and in transit. They also need to audit all vector similarity queries. Which combination of Oracle Database 23ai features should they implement?

A DBA is troubleshooting poor vector search performance in a production system with 10 million document embeddings. The HNSW index exists, but queries are slow. Upon investigation, they find the index parameter efSearch is set to 10. The application requires finding the 20 most similar documents with high accuracy. What is the problem and solution?

A database administrator needs to create a JSON Relational Duality View that exposes employee data from multiple related tables. Which statement about JSON Relational Duality Views is correct?

When configuring vector indexes for similarity search in Oracle Database 23ai, which index type is specifically designed for vector data?

A development team is experiencing slow performance when querying JSON documents stored in a table. Which feature should they implement to improve query performance on frequently accessed JSON attributes?

An application needs to perform semantic similarity searches on product descriptions stored as vectors. Which SQL function would be used to find the closest matching products based on vector similarity?

A DBA needs to monitor the performance of vector similarity searches in a production database. Which view or feature would provide insights into vector index usage and query performance?

When implementing True Cache in Oracle Database 23ai, what is the primary benefit it provides for read-heavy workloads?

A company wants to implement fine-grained access control on JSON Relational Duality Views to restrict which users can see specific customer records. What is the recommended approach?

What is the primary purpose of the VECTOR data type introduced in Oracle Database 23ai?

A database administrator is implementing a schema for storing and querying vector embeddings with 1536 dimensions from a large language model. The application requires finding the top 10 most similar vectors out of 50 million records with sub-second response times. Which combination of features would best meet these requirements?

When working with JSON Relational Duality Views, what happens when you update a JSON document through the duality view's REST API?

A database administrator needs to create a JSON Relational Duality View that allows applications to work with order data in JSON format while the underlying data remains in relational tables. Which SQL clause is essential for defining the JSON structure in the duality view?

An application uses AI Vector Search to find similar product images. The DBA notices that search performance degrades as the vector table grows beyond 10 million rows. What is the MOST effective strategy to improve search performance?

A development team wants to enforce that JSON documents stored in a JSON Relational Duality View must contain specific required fields and data types. What feature should the DBA implement?

A company is implementing vector similarity search for a recommendation engine. They have 50 million product vectors with 1536 dimensions each. During testing, exact nearest neighbor searches take over 30 seconds. The business requirement allows for 95% accuracy with sub-second response times. What indexing approach should be used?

A DBA needs to monitor the performance of JSON Relational Duality Views in production. Which Oracle monitoring approach provides specific insights into duality view operations?

An organization stores customer service chat transcripts and wants to implement semantic search to find conversations about specific topics, even when different terminology is used. What combination of Oracle AI features is MOST appropriate?

A database application uses JSON Relational Duality Views to provide a REST API. The DBA observes that UPDATE operations through the duality view are significantly slower than direct relational table updates. What is the MOST likely cause?

When implementing AI Vector Search for a facial recognition system, which distance metric is typically MOST appropriate for comparing normalized facial feature vectors?

A financial services company needs to implement audit trails for all changes made through JSON Relational Duality Views while maintaining high transaction throughput. What is the BEST approach?

A machine learning application generates 384-dimensional embedding vectors for document search. The DBA needs to choose storage parameters for the vector column. The application requires exact vector values to be preserved. What data type consideration is MOST important?

A database administrator needs to create a JSON Relational Duality View that provides read-only access to customer order data. Which clause must be included in the view definition to achieve this?

When configuring AI Vector Search in Oracle Database 23ai, which data type should be used to store vector embeddings?

A development team reports that their application using JSON Relational Duality Views is experiencing slower performance when updating nested collections. What is the most likely cause of this performance issue?

Which Oracle Database 23ai feature enables automatic detection and prevention of common SQL injection attacks without requiring application code changes?

An organization wants to perform similarity searches on product descriptions stored as vector embeddings. They need to find the top 10 most similar products to a given query vector. Which SQL operator should they use in Oracle Database 23ai?

What is the primary advantage of using JSON Schema validation with JSON Relational Duality Views?

A company needs to implement vector similarity search for millions of high-dimensional embeddings (1536 dimensions). Which indexing strategy would provide the best balance between search accuracy and query performance?

When monitoring database performance in Oracle Database 23ai, which view provides real-time information about currently executing SQL statements and their resource consumption?

A database administrator needs to configure Oracle Database 23ai to automatically generate vector embeddings from text columns using an external AI model. Which Oracle feature should be configured to accomplish this?

An organization has implemented JSON Relational Duality Views for their e-commerce application. They notice that certain queries that filter on nested array elements are performing poorly despite having indexes on the underlying relational tables. What is the most effective solution to improve query performance?

A database administrator needs to monitor the performance of vector similarity searches in Oracle Database 23ai. Which view should they query to identify slow-performing vector index scans?

Your organization wants to implement JSON Relational Duality Views to expose relational data as JSON documents. What is the primary advantage of using duality views over traditional JSON generation functions?

A development team is building an AI application that requires storing embeddings with 1536 dimensions. They are experiencing performance issues during vector searches. What is the MOST effective approach to improve search performance?

An administrator needs to grant a user the ability to create and manage JSON Relational Duality Views. Which privilege is specifically required?

A company is implementing Oracle Database 23ai with AI Vector Search capabilities. They need to ensure that vector similarity searches use cosine similarity as the distance metric. How should this be configured?

During a security audit, you discover that some JSON Relational Duality Views expose sensitive customer data. What is the recommended approach to secure this data while maintaining the duality view functionality?

An application performs frequent vector similarity searches using the query: SELECT * FROM products ORDER BY VECTOR_DISTANCE(embedding, :search_vector, EUCLIDEAN) FETCH FIRST 10 ROWS ONLY. Performance is poor despite having a vector index. What is the likely cause?

What is a key architectural consideration when designing JSON Relational Duality Views for a microservices architecture?

Which Oracle Database 23ai feature allows automatic detection and prevention of anomalous database operations using machine learning?

A developer is creating a JSON Relational Duality View and wants to include data from three related tables: CUSTOMERS, ORDERS, and ORDER_ITEMS. What is the correct structural approach?