AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are writing a system prompt for an Azure OpenAI model deployed in Azure AI Foundry. You want to ensure the model responds only using the provided context and refuses to answer if the context is insufficient. What technique should you use?
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
✓
Include explicit grounding instructions and a negative constraint in the system prompt
Grounding instructions combined with explicit refusal behavior in system prompts establish strict boundaries for RAG applications.
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 Azure AI Content Safety severity levels to high
Why it's wrong here
Content safety thresholds block harmful text, not factual grounding failures.
- ✗
Set the model temperature to 1.0 and top_p to 0.0
Why it's wrong here
Temperature and top_p control generation randomness and nucleus sampling, not rule adherence.
- ✗
Enable semantic caching on the Azure OpenAI deployment
Why it's wrong here
Semantic caching speeds up identical or similar queries by returning cached responses.
- ✓
Include explicit grounding instructions and a negative constraint in the system prompt
Why this is correct
System prompt engineering allows you to define constraints such as 'If the answer cannot be found in the context, state 'I do not know'.'
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.