Implement static row-level access control for Semantic models in Microsoft Fabric (DP-600)

Introduction

Microsoft Fabric provides powerful security features to control data access at a granular level. In the DP-600 certification exam, mastering how to implement row-level access control is essential for ensuring users see only the data relevant to them while maintaining governance and compliance. In this tutorial, you'll learn how to implement a static row-level security (RLS) for your Semantic model. This will enhance data security and to ensure a seamless and controlled analytics experience.

Static Row-level Security

Row-Level Security (RLS) in semantic models restricts data access, ensuring users see only authorized information. There are two types of Row-Level Security (RLS) in Microsoft Fabric: static and dynamic.

In this post, we focus on static RLS, which applies fixed filters to roles (e.g., [Country] = "Germany"), meaning all users in a role see the same filtered data. This approach ensures consistent access control, enhances security, and simplifies management by avoiding user-specific filtering.

Data

We have already loaded data from an Excel file into Power BI Desktop.

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Goal

For instance, users assigned to the Data Analytics role should exclusively view students majoring in Data Analytics.

In the same way, users with the Data Science or Data Engineering role should only be able to view student data corresponding to the respective major.

Implement Row-Level Security

To implement a Row-Level Security, open the table view and click Manage roles in the top-right corner.