AI-102 Implement generative AI solutions Practice Question
You deploy a chat application using Azure OpenAI Service. Users report that the model sometimes generates inappropriate content. You need to implement a safety system that can be customized for your organization's policies. What should you use?
⚠ Common exam trap
Test-takers frequently confuse the built-in content filters in Azure OpenAI Studio (which are not customizable) with Azure AI Content Safety (which is a separate, customizable service), leading them to choose option A.
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
✓
Use Azure AI Content Safety with custom categories and severity thresholds
Azure AI Content Safety provides a customizable content moderation service that allows you to define custom categories and severity thresholds aligned with your organization's specific policies. This enables you to filter inappropriate content beyond the default filters, giving you granular control over what the model generates.
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 content filter system in Azure OpenAI Studio
Why it's wrong here
Azure OpenAI Studio's content filter system offers only the predefined harm categories with fixed severity thresholds; it cannot encode organisation-specific policies or custom blocklists. It is the right choice when default Microsoft-managed filtering suffices, but the stem demands customisable policy enforcement.
- ✓
Use Azure AI Content Safety with custom categories and severity thresholds
Why this is correct
Azure AI Content Safety provides configurable harm categories with adjustable severity thresholds, letting you align filtering with your organisation's own policies rather than relying on the model's fixed default filters. This directly satisfies the requirement for a customisable safety system.
- ✗
Apply responsible AI templates from Azure AI Studio
Why it's wrong here
Responsible AI templates in Azure AI Studio supply governance documentation, impact assessments and dashboard scaffolding, not runtime filtering of model output. They suit compliance planning before deployment. The stem requires an enforced, per-organisation safety layer intercepting live prompts and completions, which templates cannot apply.
- ✗
Configure Microsoft Entra ID Conditional Access policies
Why it's wrong here
Conditional Access governs authentication and authorisation for users accessing resources, evaluating sign-in signals such as location and device compliance. It never inspects prompt or completion text, so it cannot detect inappropriate generated content. It would be correct for restricting who may call the Azure OpenAI endpoint.
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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.