You have set up a search index with vector embeddings. You want to run a search that combines traditional keyword matching (lexical search) with semantic conceptual matching (vector search) for the best query recall. What is this search configuration called?

Direct Answer (Verified)Reviewed by Sunny (Senior Cloud Engineer)

Correct Answer: Hybrid Search (combining vector and BM25 lexical search)

Hybrid search in Azure AI Search executes both keyword (BM25) and vector searches in parallel, merging and scoring the results using Reciprocal Rank Fusion (RRF) to deliver the mos...

📋Part of Microsoft Certified: Azure AI Engineer Associate (AI-102) · Azure Certification Practice
Real Exam ScenarioAzure AI Search (Semantic Search)

You have set up a search index with vector embeddings. You want to run a search that combines traditional keyword matching (lexical search) with semantic conceptual matching (vector search) for the best query recall. What is this search configuration called?

✓ Correct Answer & ExplanationAzure AI Search (Semantic Search)

Correct Answer

Hybrid Search (combining vector and BM25 lexical search)

Why This Answer Is Correct

Hybrid search in Azure AI Search executes both keyword (BM25) and vector searches in parallel, merging and scoring the results using Reciprocal Rank Fusion (RRF) to deliver the most relevant results from both perspectives.

📚 What This Question Tests

This question evaluates your knowledge of Azure AI Search (Semantic Search) — a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Search (Semantic Search) is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.

All Microsoft Certified: Azure AI Engineer Associate (AI-102) Questions →Browse All Azure Exams →

More Azure AI Search (Semantic Search) Practice Questions

You are implementing semantic search in Azure AI Search. You want to extract short, concise answers from documents in your index that directly respond to user questions. Which semantic search feature should you enable?

← Back to Microsoft Certified: Azure AI Engineer Associate (AI-102) Full Practice Hub