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SC-900 Practice Question: Describe the capabilities of Microsoft security solutions

Your company wants to use Microsoft Purview to classify and protect sensitive data in Microsoft 365. The compliance team needs to automatically detect credit card numbers in emails and apply a label that encrypts the email. What should they configure?

⚠ Common exam trap

Watch out — candidates often confuse DLP policies (which detect and block) with sensitivity labels (which classify and protect via encryption), leading them to choose C instead of D.

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

A sensitivity label with auto-labeling for sensitive information types

Sensitivity labels with auto-labeling can automatically detect sensitive information types (such as credit card numbers) in emails and apply a label that enforces encryption. This meets the requirement to both classify and protect the data in transit.

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 trainable classifier for credit card numbers

    Why it's wrong here

    Trainable classifiers in Microsoft Purview are designed to identify specific types of content based on examples provided, improving detection accuracy for unstructured data. However, they are primarily a detection mechanism and do not inherently apply protective actions like encryption or even labels automatically. While a trainable classifier can help identify credit card numbers, it requires integration with other policies, such as sensitivity labels, to trigger any automatic classification or encryption.

  • A retention label for credit card information

    Why it's wrong here

    Retention labels are a component of data governance within Microsoft Purview, specifically designed to manage the lifecycle of information by defining how long content should be kept or deleted. Their primary function is to ensure compliance with data retention policies and regulatory requirements. They do not, however, provide any mechanisms for classifying data based on its content or applying protective measures such as encryption to secure the information itself.

  • A data loss prevention (DLP) policy

    Why it's wrong here

    A Data Loss Prevention (DLP) policy is primarily focused on identifying, monitoring, and protecting sensitive information from unauthorized sharing or transfer, both inside and outside the organization. While DLP policies can detect sensitive information types, such as credit card numbers, and block or audit actions, their core function is to prevent data exfiltration. DLP policies do not automatically apply classification labels or encryption to the data itself as a primary protective measure.

  • A sensitivity label with auto-labeling for sensitive information types

    Why this is correct

    Sensitivity labels are the correct and most comprehensive mechanism within Microsoft Purview for classifying data and applying a range of protective actions, including encryption, access restrictions, and visual markings. When configured with auto-labeling policies, these labels can automatically detect specific sensitive information types, such as credit card numbers, within content. Upon detection, the associated sensitivity label, along with its defined encryption and other protections, is automatically applied to the content, ensuring both classification and robust security.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

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