SC-900 Practice Question: Describe the capabilities of Microsoft compliance solutions
A financial services company uses Microsoft Purview to manage compliance. They need to automatically apply a 'Confidential' label to all documents containing financial data in SharePoint. What should they configure?
⚠ Common exam trap
Many candidates confuse DLP policies with auto-labeling policies, as both involve content scanning and actions, but DLP does not apply sensitivity labels—it only enforces protection rules like blocking or encryption.
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
✓
Auto-labeling policy for sensitivity labels
Auto-labeling policies for sensitivity labels in Microsoft Purview allow organizations to automatically apply labels to documents based on conditions such as sensitive information types (e.g., financial data patterns). This meets the requirement to label documents containing financial data in SharePoint without manual intervention, leveraging built-in or custom sensitive info types.
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 policy for sensitivity labels
Why this is correct
This policy type in Microsoft Purview is specifically designed to automatically apply sensitivity labels to content at scale, both at rest and in transit. It leverages conditions based on sensitive information types, keywords, or trainable classifiers to identify specific content patterns, ensuring consistent classification and protection without manual intervention. This directly fulfills the requirement for automatic data management.
- ✗
Data classification dashboard
Why it's wrong here
The Data classification dashboard in Microsoft Purview provides a centralized view of an organization's data landscape, displaying insights into sensitive data, label usage, and policy matches. While crucial for monitoring and reporting on classification efforts, it is a reporting tool that offers visibility and analytics, rather than actively performing the automatic application of sensitivity labels to content.
- ✗
Trainable classifiers for manual labeling
Why it's wrong here
Trainable classifiers are advanced machine learning models within Microsoft Purview that identify specific types of content based on training data. While they significantly enhance the accuracy of identifying sensitive information, their primary role is to assist in manual labeling recommendations or to serve as a condition within an auto-labeling policy, not to independently execute the automatic labeling process.
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Data Loss Prevention (DLP) policy
Why it's wrong here
A Data Loss Prevention (DLP) policy in Microsoft Purview is engineered to detect, monitor, and protect sensitive information from being inappropriately shared or exfiltrated. While DLP policies can identify sensitive data and enforce protective actions like blocking or encrypting, their function is to prevent data loss, not to automatically apply sensitivity labels for data classification.
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Compliance Concepts
Key term
General Data Protection Regulation
A European Union law that gives individuals control over their personal data and sets strict rules for how organizations collect, store, and process that data.
Key term
Microsoft Purview
Microsoft Purview is a unified data governance and compliance service that helps organizations discover, manage, and protect their data across on-premises, cloud, and hybrid environments.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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