Microsoft Certified: Fabric Analytics Engineer AssociateGovern and administer Fabric (10-15%)Medium
A data analytics team is developing several critical reports and dashboards within a Microsoft Fabric workspace. They need to ensure that specific sensitive datasets, which are used in these reports, are not accidentally shared publicly or with unauthorized external users, even if the workspace itself has broader sharing settings. Which Fabric feature should the team leverage to enforce this granular control?
- AWorkspace item sensitivity labels
- BInformation protection policies
- CItem-level sharing permissions
- DData loss prevention policies
Show answer & explanationAnswer & explanation
Correct answer: D. Data loss prevention policies
Data loss prevention (DLP) policies are designed to prevent sensitive information from being accidentally or intentionally shared outside of an organization or with unauthorized individuals. While sensitivity labels classify data, DLP policies enforce actions based on those classifications.
Why the other options are wrong
- A. Workspace item sensitivity labels classify data but do not by themselves enforce sharing restrictions; DLP policies act upon these labels.
- B. Information protection policies are a broader category that includes sensitivity labels and DLP, but DLP is the specific mechanism for preventing data exfiltration.
- C. Item-level sharing permissions control who can access an item, but DLP policies prevent sharing outside the intended scope, even if permissions might otherwise allow it.
Data Loss Prevention (DLP)
DLP policies are security measures that prevent sensitive data from leaving an organization's control or being shared with unauthorized entities, often by monitoring, identifying, and blocking data transfers.
- Prevents unauthorized sharing of sensitive data.
- Works by identifying and monitoring sensitive information.
- Can be configured to block, warn, or audit sharing activities.
Memory trick: DLP is your Digital Leakage Protector, stopping sensitive data from escaping.