Implement knowledge mining and information extraction solutions →easyMultiple SelectObjective-mapped
AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Which TWO features of Azure AI Search allow you to improve the relevance of search results for users?
⚠ Common exam trap
It's easy for candidates to confuse features that expand recall (synonym maps) or improve user experience (suggesters) with features that directly improve relevance ranking, leading them to select A or C instead of the correct scoring profiles and semantic search.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Semantic search
Semantic search (B) improves relevance by using deep neural networks to understand the intent and context behind a query, re-ranking results based on semantic relevance rather than just keyword matching. This allows users to find more meaningful results even when their query doesn't exactly match indexed terms.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Synonym maps
Why it's wrong here
Synonym maps expand queries but do not directly improve ranking.
- ✓
Semantic search
Why this is correct
Semantic search uses AI to understand the intent of the query and improve ranking.
- ✗
Suggesters
Why it's wrong here
Suggesters provide autocomplete suggestions, not relevance.
- ✓
Scoring profiles
Why this is correct
Scoring profiles allow you to boost results based on field values or freshness.
- ✗
Filterable fields
Why it's wrong here
Filterable fields narrow results but do not affect ranking.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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