- A
A: Data Lifecycle Management
Why wrong: Data Lifecycle Management focuses on retention and deletion, not on machine learning classification.
- B
B: Information Protection (trainable classifiers)
Trainable classifiers are machine learning models that identify content patterns and can trigger sensitivity labels or other actions.
- C
C: eDiscovery
Why wrong: eDiscovery is for searching and preserving content for legal cases, not for automatic identification via machine learning.
- D
D: Communication Compliance
Why wrong: Communication Compliance monitors communications for policy violations, but not for general document classification.
Quick Answer
The correct answer is B: Information Protection (trainable classifiers). This is because trainable classifiers in Microsoft Purview use machine learning to identify confidential business information by analyzing content patterns and context, rather than relying on rigid keyword or regex matches. They learn from sample documents you provide, making them ideal for detecting nuanced data like intellectual property or financial reports in SharePoint Online. On the MS-102 exam, this tests your understanding of how Microsoft Purview’s ML-based classification differs from exact data match or sensitive info types—a common trap is confusing trainable classifiers with simple keyword-based solutions. Remember the memory tip: “Trainable classifiers learn, not just look”—they adapt to your organization’s unique confidential data, not predefined patterns.
MS-102 Manage compliance by using Microsoft Purview Practice Question
This MS-102 practice question tests your understanding of manage compliance by using microsoft purview. 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.
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?
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)
Option B is correct because 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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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 focuses on retention and deletion, not on machine learning classification.
- ✓
B: Information Protection (trainable classifiers)
Why this is correct
Trainable classifiers are machine learning models that identify content patterns and can trigger sensitivity labels or other actions.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
C: eDiscovery
Why it's wrong here
eDiscovery is for searching and preserving content for legal cases, not for automatic identification via machine learning.
- ✗
D: Communication Compliance
Why it's wrong here
Communication Compliance monitors communications for policy violations, but not for general document classification.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often 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.
Detailed technical explanation
How to think about this question
Trainable classifiers in Purview are built on a custom deep learning model that analyzes text, metadata, and formatting patterns, requiring at least 50 positive samples and 500 negative samples per classifier for training. They can be applied to SharePoint Online documents via auto-labeling policies, enabling automatic sensitivity labels based on the classifier's confidence score (e.g., 'high' or 'medium'). A real-world scenario is a financial firm using a trainable classifier to flag documents containing non-public merger details, even if the text is paraphrased.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this MS-102 question test?
Manage compliance by using Microsoft Purview — This question tests Manage compliance by using Microsoft Purview — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: B: Information Protection (trainable classifiers) — Option B is correct because 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.
What should I do if I get this MS-102 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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.
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