AI-102 Implement generative AI solutions Practice Question
You are implementing a generative AI solution using Azure OpenAI. You need to ensure that the model's outputs do not contain certain inappropriate words or phrases. Which feature should you configure?
⚠ Common exam trap
Microsoft often tests the misconception that system messages (Option A) are sufficient for content safety, when in fact they are only behavioral guidelines and lack the enforcement mechanism of dedicated content filters.
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
✓
Content filters
Content filters in Azure OpenAI are specifically designed to detect and block inappropriate words or phrases in both prompts and completions. They operate at the service level, applying configurable severity thresholds for categories like hate, violence, sexual content, and self-harm, ensuring model outputs adhere to policy without requiring prompt engineering or data modifications.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
System message instructions
Why it's wrong here
System messages can request avoidance but are not enforced.
- ✗
Grounding with your data
Why it's wrong here
Grounding ensures answers are based on provided data, not content filtering.
- ✓
Content filters
Why this is correct
Content filters can block inappropriate words and phrases.
- ✗
Max tokens limit
Why it's wrong here
Max tokens limits length, not content.
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JA
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.