AI-103 Implement Generative AI And Agentic Solutions Practice Question
Which TWO strategies are recommended to prevent 'Model Over-Reliance' or 'Automation Bias' in agents?
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 a clear disclaimer that the agent is an AI and may provide incorrect information.
Ensuring the user is informed and has a way to verify information prevents over-reliance on the agent's output.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Include a clear disclaimer that the agent is an AI and may provide incorrect information.
Why this is correct
Transparency reduces user over-reliance.
- ✗
Disable the ability for the agent to say 'I don't know'.
Why it's wrong here
Forcing an answer increases hallucination risk.
- ✓
Provide citations and links back to original source documents.
Why this is correct
Citations allow users to verify the AI's claims.
- ✗
Remove all human oversight from the process.
Why it's wrong here
Human oversight is essential for responsible AI.
- ✗
Use the highest available model temperature.
Why it's wrong here
Higher temperature increases randomness, not accuracy.
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.