AI-103 Implement Generative AI And Agentic Solutions Practice Question
Which TWO of the following are valid methods to improve the quality of retrieved data in a RAG system?
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
✓
Implementing a hybrid search strategy
Better chunking strategies and hybrid search improve 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.
- ✗
Reducing the number of vector dimensions
Why it's wrong here
Dimension changes depend on the model, not retrieval quality.
- ✓
Implementing a hybrid search strategy
Why this is correct
Hybrid search uses both keyword and vector search.
- ✓
Optimizing document chunking strategies
Why this is correct
Proper chunking improves semantic capture.
- ✗
Changing the chat history session length
Why it's wrong here
Chat history is for context, not data retrieval.
- ✗
Increasing the number of tokens in the prompt
Why it's wrong here
This does not affect document retrieval quality.
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.