AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are implementing prompt engineering for a customer support agent. To minimize hallucinations when the model lacks information, which Prompt Flow technique is most effective?
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
✓
Instructional grounding to only answer from context
Prompt engineering for RAG requires explicit instructions to use provided context and say 'I don't know' if missing.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Chain-of-thought prompting
Why it's wrong here
CoT improves reasoning but does not prevent hallucination when data is missing.
- ✓
Instructional grounding to only answer from context
Why this is correct
This restricts the model to the provided context and reduces hallucinations.
- ✗
Increasing the Top_P parameter
Why it's wrong here
Increasing Top_P increases randomness, worsening hallucinations.
- ✗
Few-shot prompting with varied examples
Why it's wrong here
Useful for style, but less effective for ground truth than context-specific instructions.
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
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