AI-102 Implement generative AI solutions Practice Question
You are designing a generative AI solution that uses Azure OpenAI GPT-4 to answer customer support questions. The solution must comply with Microsoft's Responsible AI principles, particularly transparency and accountability. Which implementation approach best meets these requirements?
⚠ Common exam trap
It's easy for candidates to assume human review (Option A) or model fine-tuning (Option B) alone satisfy Responsible AI principles, but Microsoft explicitly requires automated content filtering, logging, and transparency disclaimers as part of a comprehensive compliance strategy.
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
✓
Enable content filtering, log all interactions, and include a disclaimer that responses are AI-generated.
It directly addresses Microsoft's Responsible AI principles of transparency and accountability. Enabling content filtering (via Azure AI Content Safety) ensures harmful outputs are blocked, logging all interactions provides an audit trail for accountability, and including a disclaimer that responses are AI-generated satisfies transparency by clearly informing users they are interacting with an AI system.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use the model without any modifications, and have a human review all responses.
Why it's wrong here
Manual review is not scalable and does not provide systematic transparency.
- ✗
Fine-tune the model on a curated dataset of support tickets and disable content filtering.
Why it's wrong here
Disabling content filtering violates responsible AI practices.
- ✓
Enable content filtering, log all interactions, and include a disclaimer that responses are AI-generated.
Why this is correct
Content filtering, logging, and disclaimers address transparency and accountability.
- ✗
Use the default model deployment and rely on the model's inherent safety.
Why it's wrong here
Default safety may not be sufficient; explicit logging and filters are needed.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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-102 exam.