The correct answer involves three actions: registering the Azure SQL Database in Microsoft Purview, scanning it to auto-classify sensitive data like credit card numbers, and creating a sensitivity label with auto-labeling that is then published. This works because Purview’s data map first discovers the schema and sample data through a scan, which triggers the built-in classifiers for patterns such as credit card numbers, and then the auto-labeling policy applies the designated sensitivity label automatically upon detection. On the Microsoft Cybersecurity Architect exam, this scenario tests your understanding of Purview’s data classification lifecycle—registration, scanning, and labeling—versus other Microsoft 365 compliance tools. A common trap is confusing Data Loss Prevention (DLP) policies, which govern data in use or motion, with Purview’s labeling for data at rest, or assuming auditing alone can classify. Remember the mnemonic “R-S-L” for Register, Scan, Label to keep the three required steps straight.
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. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
Your organization is designing a data protection strategy using Microsoft Purview. You need to classify and label all sensitive data stored in Azure SQL Database. The solution must automatically detect credit card numbers and apply a sensitivity label. Which three actions should you take? (Choose three.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a scan in Purview to classify sensitive data types
Options B, C, and D are correct because to automatically classify and label data in Azure SQL Database, you need to register the data source in Purview, scan it to discover sensitive data, and create an auto-labeling policy that applies the label. Option A is wrong because DLP policies are for data in use/motion, not for labeling. Option E is wrong because enabling auditing does not classify or label.
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.
✗
Enable Azure SQL Database auditing
Why it's wrong here
Auditing tracks activity, not classification/labeling.
✓
Create a scan in Purview to classify sensitive data types
Why this is correct
Scanning discovers sensitive data.
Related concept
Read the scenario before looking for a memorised answer.
✓
Register the Azure SQL Database as a data source in Microsoft Purview
Why this is correct
Registration is necessary for scanning.
Related concept
Read the scenario before looking for a memorised answer.
✗
Create a data loss prevention (DLP) policy in Purview
Why it's wrong here
DLP policies enforce actions on labeled data, not apply labels.
✓
Create a sensitivity label with auto-labeling for credit card numbers and publish it
Why this is correct
Auto-labeling applies the label based on classification.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
How to think about this question
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
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.
Use explanations to understand the rule behind the answer.
TExam Day Tips
→Underline the problem statement mentally.
→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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this SC-100 question in full detail.
Identify which SC-100 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Design security solutions for applications and data — This question tests Design security solutions for applications and data — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Create a scan in Purview to classify sensitive data types — Options B, C, and D are correct because to automatically classify and label data in Azure SQL Database, you need to register the data source in Purview, scan it to discover sensitive data, and create an auto-labeling policy that applies the label. Option A is wrong because DLP policies are for data in use/motion, not for labeling. Option E is wrong because enabling auditing does not classify or label.
What should I do if I get this SC-100 question wrong?
Identify which SC-100 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
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. Your organization uses Microsoft Purview to protect sensitive data. You need to implement a solution that automatically detects and protects personally identifiable information (PII) in Microsoft 365. Which THREE should be part of your solution? (Choose THREE.)
hard
A.Azure Policy
B.Microsoft Defender for Cloud
✓ C.Microsoft Purview Information Protection scanner
✓ D.Microsoft Purview Data Loss Prevention (DLP) policies
✓ E.Sensitivity labels in Microsoft Purview Information Protection
Why C: B, C, and E are correct. Microsoft Purview Data Loss Prevention (DLP) policies can detect PII and apply actions. Sensitivity labels can classify data and enforce protection. Microsoft Purview Information Protection (formerly Azure Information Protection) scanners can scan on-premises data. Option A is wrong because Microsoft Defender for Cloud is for cloud security posture, not data classification. Option D is wrong because Azure Policy is for resource configuration, not data scanning.
Last reviewed: Jun 21, 2026
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