AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are designing a customer service chatbot using Azure OpenAI. You need to ensure that the model refuses to answer questions outside the scope of your company's products. Where should you define this boundary instruction?
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
✓
In the system message
System messages (or system prompts) set the behavior, tone, and operational boundaries of the model throughout the conversation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
In the temperature setting
Why it's wrong here
Temperature controls the randomness of token selection, not the content boundaries.
- ✗
In the user prompt prefix
Why it's wrong here
Putting instructions in the user prompt is less reliable than system messages and can be easily overridden by user input.
- ✗
In the max_tokens parameter configuration
Why it's wrong here
Max tokens control the length of the response, not the topical constraints or behavior.
- ✓
In the system message
Why this is correct
The system message establishes the core instructions, persona, and constraints that the model follows.
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.