The answer is auto-labeling policies in Microsoft Purview. This feature is correct because it uses sensitive info types, such as the predefined credit card number pattern, to automatically apply a 'Confidential' sensitivity label to documents in SharePoint and other locations without user intervention. On the Microsoft Cybersecurity Architect exam, this question tests your understanding of automated classification versus manual or training-dependent methods; a common trap is confusing auto-labeling with trainable classifiers, which require sample data and are designed for ambiguous patterns like contracts, not fixed formats like credit card numbers. Remember that auto-labeling policies are the go-to for rule-based, pattern-matching scenarios where you need to apply labels at scale based on sensitive info types. A useful memory tip: think "auto-label for auto-detect" — if the data has a clear, structured pattern like credit card numbers, auto-labeling is your tool, not training.
SC-100 Practice Question: Design security solutions for applications and data
This SC-100 practice question tests your understanding of design security solutions for applications and data. 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.
You are designing a secure data classification strategy for documents in Microsoft 365. The compliance officer wants to automatically apply a 'Confidential' label to documents containing credit card numbers. Which Microsoft Purview feature should you use?
Auto-labeling policies can automatically apply sensitivity labels based on sensitive info types like credit card numbers.
B
Data loss prevention policies
Why wrong: DLP policies prevent sharing of sensitive data but do not apply labels.
C
Trainable classifiers
Why wrong: Trainable classifiers are used for content that requires machine learning, not for predefined sensitive info types like credit card numbers.
D
Manual labeling
Why wrong: Manual labeling requires user action and is not automatic.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Auto-labeling policies
Option C is correct because auto-labeling policies in Microsoft Purview can automatically apply sensitivity labels based on sensitive info types. Option A is wrong because trainable classifiers require training and are for more complex patterns. Option B is wrong because manual labeling is not automatic. Option D is wrong because data loss prevention policies prevent sharing but do not apply labels.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Auto-labeling policies
Why this is correct
Auto-labeling policies can automatically apply sensitivity labels based on sensitive info types like credit card numbers.
Related concept
Static NAT maps one inside address to one outside address.
✗
Data loss prevention policies
Why it's wrong here
DLP policies prevent sharing of sensitive data but do not apply labels.
✗
Trainable classifiers
Why it's wrong here
Trainable classifiers are used for content that requires machine learning, not for predefined sensitive info types like credit card numbers.
✗
Manual labeling
Why it's wrong here
Manual labeling requires user action and is not automatic.
Common exam traps
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.
Detailed technical explanation
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.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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. NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-100 question in full detail.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related SC-100 NAT questions on configuration and troubleshooting.
Design security solutions for applications and data — This question tests Design security solutions for applications and data — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Auto-labeling policies — Option C is correct because auto-labeling policies in Microsoft Purview can automatically apply sensitivity labels based on sensitive info types. Option A is wrong because trainable classifiers require training and are for more complex patterns. Option B is wrong because manual labeling is not automatic. Option D is wrong because data loss prevention policies prevent sharing but do not apply labels.
What should I do if I get this SC-100 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related SC-100 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
About these practice questions
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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. You are designing a data classification strategy for Microsoft Purview. The compliance team requires that documents containing personally identifiable information (PII) like credit card numbers are automatically labeled and encrypted when stored in Microsoft SharePoint Online. The solution must use built-in sensitive information types. What should you include in the design?
hard
✓ A.Create a sensitivity label with auto-labeling for credit card numbers and enable encryption
B.Create a retention label and apply it automatically via a data loss prevention (DLP) policy
C.Use a trainable classifier to detect PII and apply a sensitivity label
D.Configure a manual sensitivity label policy for users to apply
Why A: Option D is correct because a sensitivity label with auto-labeling for content matching a sensitive information type (like credit card number) and encryption can be applied to SharePoint documents automatically. Option A is wrong because retention labels do not enforce encryption. Option B is wrong because trainable classifiers require custom training. Option C is wrong because manual labeling is not automatic.
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Question Discussion
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