1Z0-184-25 practice question 7 of 15

What is the purpose of the Vector Pool in Oracle Database 23ai?

Full set: 60 questions

Answer options

A: To manage database partitioning

B: To store HNSW vector indexes and IVF index metadata Correct answer

C: To enable longer SQL execution

D: To store non-vector data types

Correct Answer:

B. To store HNSW vector indexes and IVF index metadata

Explanation

The Vector Pool in Oracle 23ai is a dedicated SGA memory region (controlled by VECTOR_MEMORY_SIZE) for vector operations, specifically storing HNSW indexes (graph structures) and IVF index metadata (e.g., centroids) (B). This optimizes memory usage for vector search, keeping critical index data accessible for fast queries. Partitioning (A) is unrelated; that’s a tablespace feature. Longer SQL execution (C) might benefit indirectly from memory efficiency, but it’s not the purpose. Non-vector data (D) resides elsewhere (e.g., PGA, buffer cache). Oracle allocates the Vector Pool to enhance AI workloads, ensuring indexes don’t compete with other memory, a design choice reflecting vector search’s growing importance.
Reference:Oracle Database 23ai AI Vector Search Guide, Section on Vector Memory Management.

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