AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are troubleshooting a RAG application in Azure AI Foundry where retrieved search results are irrelevant to user queries. Which THREE actions should you take to diagnose and improve retrieval quality? (Choose THREE)
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
✓
Evaluate whether document chunk sizes and overlaps align with query granularity
Analyzing embeddings, evaluating chunking strategies, and testing hybrid search or semantic ranking are key steps to diagnose and resolve poor retrieval quality.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Evaluate whether document chunk sizes and overlaps align with query granularity
Why this is correct
Poor chunking sizes can split vital context or bundle unrelated topics, ruining retrieval precision.
- ✓
Inspect embedding vector distances and similarity scores of retrieved documents
Why this is correct
Checking similarity scores helps determine if embeddings accurately represent query-document semantic closeness.
- ✗
Increase the Azure OpenAI model temperature parameter to 1.5
Why it's wrong here
Temperature controls generative output randomness, not document retrieval quality.
- ✗
Configure Azure Key Vault access policies for the search service
Why it's wrong here
Key Vault access manages cryptographic keys, not search relevance.
- ✓
Enable semantic ranking in Azure AI Search to re-rank results based on deep language understanding
Why this is correct
Semantic ranking significantly improves search precision by re-ranking initial results using advanced AI models.
Visual reference
About these practice questions
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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.