AI-102 Plan and manage an Azure AI solution Practice Question
Your team uses Azure AI Foundry to deploy a custom chat model. The model must meet compliance by explaining its reasoning and citing sources. Which feature should you enable?
⚠ Common exam trap
It's easy for candidates to confuse content filtering (which blocks unsafe content) with groundedness detection (which ensures factual accuracy and source attribution), leading them to choose option B when the question specifically asks for reasoning and citation capabilities.
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
✓
Groundedness detection with citation
Groundedness detection with citation is the correct feature because it directly addresses the compliance requirement for the model to explain its reasoning and cite sources. This feature, available in Azure AI Foundry, evaluates the model's responses against the provided grounding documents and automatically generates citations, ensuring that the output is factually supported and traceable.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fine-tuning with domain-specific data
Why it's wrong here
Fine-tuning improves accuracy but does not guarantee citations.
- ✗
Content filtering
Why it's wrong here
Content filtering blocks harmful content but does not provide citations.
- ✓
Groundedness detection with citation
Why this is correct
Groundedness detection ensures the model cites sources for compliance.
- ✗
Prompt engineering
Why it's wrong here
Prompt engineering guides behavior but does not enforce source citation.
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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.