AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are designing a RAG solution using Azure AI Search and Azure OpenAI. Users report that when querying technical documentation, the system misses highly relevant paragraphs because the exact keywords do not match the user's conversational query. How should you configure Azure AI Search to improve retrieval accuracy?
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
✓
Enable semantic ranking on the Azure AI Search index and use hybrid search combining vector embeddings and keyword BM25.
Semantic ranking in Azure AI Search applies advanced machine learning models to understand the intent of the query and re-rank search results based on semantic relevance rather than pure keyword matching.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Switch the index analyzer to a standard whitespace analyzer to prevent stemming issues.
Why it's wrong here
A whitespace analyzer would make keyword matching even stricter, worsening the problem.
- ✓
Enable semantic ranking on the Azure AI Search index and use hybrid search combining vector embeddings and keyword BM25.
Why this is correct
Hybrid search combined with semantic ranking bridges the gap between keyword mismatches and semantic meaning.
- ✗
Increase the number of retrieved documents (top_k) from 3 to 20 without changing the query type.
Why it's wrong here
Retrieving 20 documents introduces noise and exceeds context window limits without addressing the underlying keyword mismatch.
- ✗
Convert all documents to uppercase before indexing to ensure case-insensitive matching.
Why it's wrong here
Case sensitivity is already handled by default keyword tokenizers; this does not solve conceptual mismatches.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed August 2026 · checked against the official Microsoft exam blueprint
This AI-103 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-103 exam.