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AI-102 Practice Question: Implement knowledge mining and information extraction solutions
Your knowledge mining solution uses Azure AI Search. Users complain that search results are not relevant. You have enabled semantic search but results still lack context. What should you do to improve relevance?
⚠ Common exam trap
It's easy for candidates to assume enabling the semantic search feature alone is sufficient, but Azure AI Search requires an explicit semantic configuration to map the fields that the semantic model will use for reranking.
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
✓
Ensure the index includes a semantic configuration with title and content fields
Semantic search in Azure AI Search requires a semantic configuration that explicitly maps the title and content fields to be used for semantic ranking. Without this configuration, the search engine cannot apply the deep neural network models that understand context and intent, so results remain based on keyword matching even when the semantic search feature is enabled.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Ensure the index includes a semantic configuration with title and content fields
Why this is correct
Semantic configuration is required for semantic ranking to work.
- ✗
Increase the number of partitions to handle more data
Why it's wrong here
Partitions affect indexing, not relevance.
- ✗
Configure a scoring profile with boosting based on metadata
Why it's wrong here
Metadata boosting is basic and does not provide context.
- ✗
Increase the number of replicas to improve query performance
Why it's wrong here
Replicas affect throughput, not relevance.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the AI-102 exam.