hardmultiple choiceObjective-mapped

A compliance officer needs to automatically identify and label content that is conceptually similar to existing sensitive documents, such as internal strategy memos or proprietary technical specifications, without relying on explicit keywords or recognized sensitive information types. Which Microsoft Purview solution should the officer use to achieve this?

Question 1hardmultiple choice
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A compliance officer needs to automatically identify and label content that is conceptually similar to existing sensitive documents, such as internal strategy memos or proprietary technical specifications, without relying on explicit keywords or recognized sensitive information types. Which Microsoft Purview solution should the officer use to achieve this?

Answer choices

Why each option matters

Good practice is not just finding the correct option. The wrong answers often show the exact trap the exam wants you to fall into.

A

Best answer

trainable classifier

Trainable classifiers are designed to identify content based on examples and can learn to recognize documents that are conceptually similar, such as internal memos or proprietary specs, without needing exact keywords or predefined sensitive info types.

B

Distractor review

sensitive information type

Sensitive information types rely on patterns (e.g., regular expressions, keywords, checksums) and are best for detecting structured data like credit card numbers or social security numbers. They cannot learn conceptual similarities from example documents.

C

Distractor review

An auto-labeling policy with a retention label

Auto-labeling policies can apply retention labels based on sensitive info types or trainable classifiers, but the retention label itself is for retention/disposition, not for identification. The policy uses an underlying detection method, not the label.

D

Distractor review

Data Loss Prevention (DLP) policy that blocks sharing

DLP policies enforce actions on data that is already identified, often using sensitive info types or trainable classifiers. They do not directly identify the content; they respond to pre-existing classifications.

Common exam trap

Common exam trap: NAT rules depend on direction and matching traffic

NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.

Technical deep dive

How to think about this question

NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.

KKey Concepts to Remember

  • Static NAT maps one inside address to one outside address.
  • PAT allows many inside hosts to share one public address using ports.
  • Inside local and inside global describe the private and translated addresses.
  • NAT ACLs identify traffic for translation, not always security filtering.

TExam Day Tips

  • Identify inside and outside interfaces first.
  • Check whether the scenario needs static NAT, dynamic NAT or PAT.
  • Do not confuse NAT matching ACLs with normal packet-filtering intent.

Related practice questions

Related MS-102 practice-question pages

Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.

More questions from this exam

Keep practising from the same exam bank, or move into a focused topic page if this question exposed a weak area.

Question 1

A company recently added the custom domain 'contoso.com' to their Microsoft 365 tenant. Users report that they cannot receive external email sent to their new domain addresses. The administrator confirmed that the domain status shows 'Active' in the Microsoft 365 admin center. What is the most likely cause of this issue?

Question 2

A company has 500 users across Sales, Marketing, and IT departments. User objects are synced from on-premises Active Directory to Microsoft Entra ID using Azure AD Connect. Each department requires different Microsoft 365 license plans (e.g., Sales needs E3, Marketing needs Business Premium, IT needs E5). The administrator wants to automatically assign the appropriate license based on the department attribute without manual intervention. Which approach should the administrator use?

Question 3

A company has purchased 1000 Microsoft 365 E5 licenses and wants to automatically assign licenses to users based on their department attribute, which is synchronized from on-premises Active Directory. The department attribute is stored in Azure AD. Which automated method should the administrator use to achieve this?

Question 4

A company has just purchased Microsoft 365 Business Standard and added the custom domain 'fabrikam.com' to the tenant. They want to verify domain ownership. Which DNS record type must they add to their DNS provider?

Question 5

A company plans to migrate their email from an on-premises Exchange server to Exchange Online. They want to ensure that during the migration, mail sent to users who have already been migrated is delivered to Exchange Online, while mail for non-migrated users is delivered to on-premises. Which type of domain configuration should they use?

Question 6

A company has registered the custom domain 'contoso.com' and wants to host email for the subdomain 'sales.contoso.com' in Exchange Online. They have already verified the root domain. What additional step is required?

FAQ

Questions learners often ask

What does this MS-102 question test?

Static NAT maps one inside address to one outside address.

What is the correct answer to this question?

The correct answer is: trainable classifier — Trainable classifiers use machine learning to recognize content based on patterns defined by example documents, making them ideal for identifying custom content types that cannot be defined by keywords or sensitive info types (e.g., data identifiers like Social Security numbers). Sensitive info types require specific patterns (e.g., regex). Auto-labeling with a sensitive info type is limited to predefined or custom patterns. A retention label is for retention and disposition, not automatic identification. A DLP policy using trainable classifiers can apply labels, but the correct solution for identification is a trainable classifier, and it can be used in an auto-labeling policy. However, the question asks for the solution to identify content conceptually; the answer is trainable classifier.

What should I do if I get this MS-102 question wrong?

Then try more questions from the same exam bank and focus on understanding why the wrong options are tempting.

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