AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are building a RAG solution and observe that the model retrieves the correct documents but fails to use the information accurately. What is the most effective approach to improve performance?
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
✓
Refine the system prompt instructions
Iterative prompt engineering and improving the system message instructions are key to improving RAG performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Refine the system prompt instructions
Why this is correct
Instructions guide the model on how to use context.
- ✗
Increase the vector index size
Why it's wrong here
Index size does not affect reasoning quality.
- ✗
Use a smaller base model
Why it's wrong here
Smaller models typically have worse reasoning capability.
- ✗
Disable streaming response
Why it's wrong here
Streaming is purely for UX.
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.