Microsoft Certified: Power BI Data Analyst AssociateDeploy and maintain assetsMedium
A Power BI report contains sensitive customer personal identifiable information (PII). The data analyst needs to configure a data classification policy to indicate the sensitivity of the data and protect it from unauthorized sharing or download. Which Power BI feature integrates with Microsoft Information Protection to achieve this?
- ARow-level security (RLS)
- BData sensitivity labels
- CPower BI audit logs
- DObject-level security (OLS)
Show answer & explanationAnswer & explanation
Correct answer: B. Data sensitivity labels
Data sensitivity labels, integrated with Microsoft Information Protection, allow organizations to classify and protect sensitive data in Power BI. They can enforce policies like preventing downloads or applying encryption based on the label.
Why the other options are wrong
- A. RLS restricts row access but does not classify data or control sharing/download behavior based on sensitivity.
- C. Audit logs track activities but do not actively classify or protect data.
- D. OLS hides columns/tables but does not classify data or enforce protection policies like preventing downloads.
Power BI Data Sensitivity Labels
Data sensitivity labels, integrated with Microsoft Information Protection (MIP), allow users to classify sensitive data in Power BI reports, dashboards, datasets, and dataflows, and apply protection policies.
- Classify data based on sensitivity (e.g., Public, General, Confidential).
- Enforce protection actions (e.g., encryption, visual watermarks, prevent downloads).
- Integrated with Microsoft Information Protection.
Memory trick: Labels Limit Leaks.