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MS-102 Manage compliance by using Microsoft Purview Practice Question

A compliance officer needs to identify documents in SharePoint Online that contain confidential business information by using a machine learning model. Which Microsoft Purview solution should be configured?

⚠ Common exam trap

A common mix-up: candidates confuse trainable classifiers with simple keyword-based sensitivity labels or DLP policies, but the question specifically requires a machine learning model, which only trainable classifiers provide.

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

✓

B: Information Protection (trainable classifiers)

Trainable classifiers in Microsoft Purview Information Protection use machine learning models to identify documents containing sensitive or confidential business information based on content patterns and context. Unlike simple keyword matching, trainable classifiers learn from sample documents to accurately detect specific types of confidential data, such as intellectual property or financial reports, in SharePoint Online.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    A: Data Lifecycle Management

    Why it's wrong here

    Data Lifecycle Management (DLM) governs how long content is retained and when it should be deleted. It applies retention labels and policies based on criteria such as age, location, or existing metadata, but it does not analyze document content to identify categories. Because it lacks machine learning-based content recognition, DLM cannot automatically discover documents by topic or context.

  • ✓

    B: Information Protection (trainable classifiers)

    Why this is correct

    Information Protection's trainable classifiers are machine learning models that learn to recognize specific content patterns from seed documents and then automatically classify SharePoint documents. Once trained, these classifiers can drive sensitivity labels, retention labels, or communication compliance policies, enabling automatic identification without manual scanning. This is the correct approach because the compliance officer needs to identify documents based on content, and trainable classifiers are purpose-built for that.

  • ✗

    C: eDiscovery

    Why it's wrong here

    eDiscovery is an investigation-centric tool that performs keyword, property, and metadata searches across content sources to find evidence for legal or compliance cases. It can preserve and export results, but it does not use machine learning to automatically recognize and classify content. Searching with eDiscovery requires manual query construction, so it cannot continuously identify documents based on learned patterns.

  • ✗

    D: Communication Compliance

    Why it's wrong here

    Communication Compliance is focused on monitoring emails and Microsoft Teams messages for policy violations like harassment, inappropriate sharing, or regulatory non-compliance. Its classification capabilities are tailored to communication content, not general SharePoint document libraries. Thus it cannot be used to identify confidential engineering specs or HR files stored as documents in SharePoint.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This MS-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 MS-102 exam.