AI-103 Implement Generative AI And Agentic Solutions Practice Question
You need to optimize the retrieval performance of your RAG agent. You find that the search engine returns too many irrelevant documents. What should you adjust?
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
✓
Configure Hybrid Search settings in the search index.
Hybrid search (combining vector and keyword search) and adjusting ranking parameters can significantly improve retrieval accuracy.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Configure Hybrid Search settings in the search index.
Why this is correct
Hybrid search improves precision by combining semantic relevance with keyword matching.
- ✗
Increase the model temperature.
Why it's wrong here
This increases randomness.
- ✗
Change the model to a newer version.
Why it's wrong here
Model version does not affect search retrieval logic.
- ✗
Reduce the system prompt length.
Why it's wrong here
Prompt length does not affect retrieval precision.
About these practice questions
This AI-103 question is part of Courseiva's 510-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
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.