Oracle AI Vector Search Professional - 1Z0-184-25 FREE EXAM DUMPS QUESTIONS & ANSWERS

A. An exact match search is triggered B. A warning is logged, but the query executes C. The index automatically updates D. The query fails

A. Inverted File System (IFS) index B. Hierarchical Navigable Small World (HNSW) index C. Binary Tree (BT) index D. Inverted File (IVF) index

A. FETCH PARTITIONS BY clause B. A nested query with ORDER BY C. GROUP BY with vector operations D. Exact similarity search with a single query vector

A. To group vectors by their exact scores B. To find exact matches in BLOB data C. Optimize relational database operations to compute distances between all data points in a database D. To retrieve the most semantically similar entries using distance metrics between different vectors

A. To enable longer SQL execution B. To manage database partitioning C. To store non-vector data types D. To store HNSW vector indexes and IVF index metadata

A. It is the default distance metric for Oracle AI Vector Search B. It is simpler and faster because it avoids square-root calculations C. It guarantees higher accuracy than Euclidean Distance D. It supports hierarchical partitioning of vectors

A. AI Smart Scan B. Native Support for Vector Search Only within the Database Server C. Vector Replication with GoldenGate D. Loading Vector Data using SQL*Loader