Quick Answer
The answer is to configure an auto-labeling policy with a sensitive info type. This is correct because Microsoft Purview auto-labeling policies use pattern matching against built-in sensitive info types (SITs), such as the credit card number SIT, to automatically apply retention labels to documents without user intervention. On the Microsoft Cybersecurity Architect exam, this scenario tests your understanding of how Purview’s auto-labeling differs from manual or default labeling—a common trap is confusing it with a retention policy that lacks a label, or assuming you need a trainable classifier for a fixed pattern like credit card numbers. Remember, SITs handle structured data like credit card numbers via regex patterns, while trainable classifiers are for unstructured content. A quick memory tip: for fixed patterns, think “SIT and auto-label,” not manual or machine learning.
This SC-100 practice question tests your understanding of design security operations, identity, and compliance capabilities. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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 company uses Microsoft Purview to classify data and enforce retention policies. They need to automatically apply a retention label to all documents containing credit card numbers. Which approach should they use?
Configure an auto-labeling policy with a sensitive info type
Auto-labeling applies labels based on content.
Use a trainable classifier
Why wrong: Overkill for credit card numbers.
Create a manual labeling policy for users
Why wrong: Not automated.
Use a default label for SharePoint libraries
Why wrong: Not content-based.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Configure an auto-labeling policy with a sensitive info type
Option A is correct because Microsoft Purview auto-labeling policies can automatically apply retention labels to documents based on sensitive info types (SITs), such as credit card numbers. This approach uses pattern matching to detect the credit card number format and applies the label without user intervention, meeting the requirement for automatic enforcement.
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.
Configure an auto-labeling policy with a sensitive info type
Why this is correct
Auto-labeling applies labels based on content.
Related concept
Read the scenario before looking for a memorised answer.
Use a trainable classifier
Why it's wrong here
Overkill for credit card numbers.
Create a manual labeling policy for users
Why it's wrong here
Not automated.
Use a default label for SharePoint libraries
Why it's wrong here
Not content-based.
Common exam traps
The trap here is that candidates may confuse trainable classifiers with sensitive info types, thinking that 'intelligent' classification is always better, but SITs are the correct choice for specific, pattern-based data like credit card numbers.
Detailed technical explanation
Auto-labeling policies in Purview use sensitive info types defined by regex patterns and checksums (e.g., Luhn algorithm for credit cards) to detect data. The policy can be configured for at-rest content (SharePoint, OneDrive) or in-transit (Exchange), and labels can be applied with conditions like 'contains credit card number' without requiring a full scan of all content. In a real-world scenario, this ensures compliance with PCI DSS by automatically tagging documents with credit card data for retention or deletion.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Design security operations, identity, and compliance capabilities — This question tests Design security operations, identity, and compliance capabilities — Read the scenario before looking for a memorised answer..
The correct answer is: Configure an auto-labeling policy with a sensitive info type — Option A is correct because Microsoft Purview auto-labeling policies can automatically apply retention labels to documents based on sensitive info types (SITs), such as credit card numbers. This approach uses pattern matching to detect the credit card number format and applies the label without user intervention, meeting the requirement for automatic enforcement.
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.
About these practice questions
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Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company uses Microsoft Purview to classify and label sensitive data. They want to automatically apply a sensitivity label to documents containing a specific custom sensitive information type. Which TWO components are required for this?
mediumWhy C: Option C is correct because a custom sensitive information type defines the specific data pattern (e.g., a proprietary employee ID format) that Microsoft Purview can detect in documents. Option D is correct because an auto-labeling policy uses that custom sensitive information type as a condition to automatically apply a sensitivity label to matching content, without requiring user intervention.
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Last reviewed: Jun 24, 2026
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