Oracle Exam 1Z0-184-25 Topic 2 Question 8 Discussion

Actual exam question for Oracle's 1Z0-184-25 exam

Question #: 8
Topic #: 2

You want to quickly retrieve the top-10 matches for a query vector from a dataset of billions of vectors, prioritizing speed over exact accuracy. What is the best approach?

AExact similarity search using flat search

BApproximate similarity search with a low target accuracy setting

CRelational filtering combined with an exact search

DExact similarity search with a high target accuracy setting

Show Suggested Answer

Suggested Answer: B

For speed over accuracy with billions of vectors, approximate similarity search (ANN) with a low target accuracy setting (B) (e.g., 70%) uses indexes like HNSW or IVF, probing fewer vectors to return top-10 matches quickly. Exact flat search (A) scans all vectors, too slow for billions. Relational filtering with exact search (C) adds overhead without speed gains. Exact search with high accuracy (D) maximizes precision but sacrifices speed. Oracle's documentation recommends ANN for large-scale, speed-focused queries.

by Marnie at Apr 29, 2025, 05:30 AM

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