Quick Answer
The correct answer is to set up Data Estate Insights to monitor data usage. This is because Microsoft Purview’s Data Estate Insights provides a centralized dashboard that tracks data lineage, consumption patterns, and access metrics across your data estate, allowing you to verify that training data for AI models adheres to internal policies on usage and provenance. On the Microsoft Azure AI Engineer Associate AI-102 exam, this concept tests your understanding of governance tools beyond just classification or labeling—many candidates mistakenly choose a static policy or a manual audit report, but the key is that Insights offers continuous, automated monitoring for compliance. A common trap is confusing Data Estate Insights with Purview’s Data Map or Catalog; remember that Insights is the analytics layer that surfaces usage trends, not just metadata. Memory tip: “Insights for oversight”—if you need to see how data is being used over time, think of Insights as your compliance radar.
This AI-102 practice question tests your understanding of plan and manage an azure ai solution. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Your organization uses Microsoft Purview to govern AI models. You need to ensure that data used for training complies with internal policies. What should you configure?
Set up Data Estate Insights to monitor data usage
Provides governance and compliance monitoring.
Use Microsoft Purview Data Map to catalog training data
Why wrong: Cataloging is not sufficient for policy enforcement.
Apply sensitivity labels to training data
Why wrong: Labels alone do not enforce compliance.
Enable Microsoft Purview Information Protection
Why wrong: Protection is about encryption and rights management.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Set up Data Estate Insights to monitor data usage
Data Estate Insights in Microsoft Purview provides monitoring and analytics over data estate health, including data usage patterns. By configuring Data Estate Insights, you can track how training data is accessed and used, enabling you to verify compliance with internal policies on data consumption for AI model training.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Set up Data Estate Insights to monitor data usage
Why this is correct
Provides governance and compliance monitoring.
Related concept
Read the scenario before looking for a memorised answer.
Use Microsoft Purview Data Map to catalog training data
Why it's wrong here
Cataloging is not sufficient for policy enforcement.
Apply sensitivity labels to training data
Why it's wrong here
Labels alone do not enforce compliance.
Enable Microsoft Purview Information Protection
Why it's wrong here
Protection is about encryption and rights management.
Common exam traps
The trap here is confusing data cataloging (Data Map) or classification (sensitivity labels) with usage monitoring, leading candidates to select options that address data discovery or protection rather than compliance monitoring.
Detailed technical explanation
Data Estate Insights leverages the Microsoft Purview Data Map's metadata to generate dashboards and reports on data stewardship, including usage metrics. Under the hood, it aggregates scan and classification results to provide a centralized view of data consumption trends, which is critical for auditing AI training pipelines against internal governance rules. In a real-world scenario, an organization could use Data Estate Insights to detect if a sensitive dataset is being accessed more frequently than allowed for model training, triggering a compliance alert.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
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FAQ
Plan and manage an Azure AI solution — This question tests Plan and manage an Azure AI solution — Read the scenario before looking for a memorised answer..
The correct answer is: Set up Data Estate Insights to monitor data usage — Data Estate Insights in Microsoft Purview provides monitoring and analytics over data estate health, including data usage patterns. By configuring Data Estate Insights, you can track how training data is accessed and used, enabling you to verify compliance with internal policies on data consumption for AI model training.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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.
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