AI-103 Implement Generative AI And Agentic Solutions Practice Question
As part of responsible AI practices in Azure AI Foundry, which TWO actions should you perform to evaluate and mitigate model fairness and safety risks before deployment? (Choose two)
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
✓
Run automated evaluations in Azure AI Foundry to measure metrics such as groundedness, relevance, and protected material presence.
Evaluating models using automated evaluation metrics (such as groundedness and relevance) and conducting red teaming are essential responsible AI practices.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Bypass security reviews if the application is intended for internal enterprise employees only.
Why it's wrong here
Internal applications still require rigorous responsible AI evaluations and security controls to protect enterprise data.
- ✓
Run automated evaluations in Azure AI Foundry to measure metrics such as groundedness, relevance, and protected material presence.
Why this is correct
Automated evaluation tools in Azure AI Foundry help quantify model performance and safety metrics against validation datasets.
- ✗
Remove all system prompts to allow the model complete autonomy during evaluation runs.
Why it's wrong here
Removing system prompts removes baseline behavioral constraints, invalidating safety evaluation results.
- ✓
Perform adversarial testing (red teaming) to identify potential prompt injections, jailbreaks, and unintended behaviors.
Why this is correct
Red teaming uncovers vulnerabilities and edge cases before the application is released to production users.
- ✗
Hardcode responses for all possible user inputs to eliminate model non-determinism entirely.
Why it's wrong here
Hardcoding responses defeats the purpose of generative AI and LLM flexibility.
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.