AI-103 Implement Generative AI And Agentic Solutions Practice Question
You are auditing a generative AI application for responsible AI compliance. Which THREE practices should you implement to mitigate risks? (Choose 3)
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 system messages to explicitly define boundaries
Responsible AI involves monitoring, filtering, and transparency, including content filtering and human-in-the-loop validation.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store all user PII in plain text logs
Why it's wrong here
Storing PII in plain text is a security violation.
- ✗
Increase the temperature of the model to 1.0
Why it's wrong here
Higher temperature increases unpredictability, which increases risk.
- ✓
Configure system messages to explicitly define boundaries
Why this is correct
System messages are the first line of defense in guiding AI behavior safely.
- ✓
Enable Azure AI Content Safety filtering
Why this is correct
Content filtering is a core pillar of responsible AI in Azure.
- ✓
Implement manual review cycles for high-impact outputs
Why this is correct
Human-in-the-loop is critical for high-stakes AI decisions.
About these practice questions
Courseiva writes every AI-103 question from scratch — 510 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or 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.