Podcast
Questions and Answers
Which DAX expression should you use to create a table filter for dynamic row-level security (RLS) in Power BI?
Which DAX expression should you use to create a table filter for dynamic row-level security (RLS) in Power BI?
- D. [Email Address] = USERPRINCIPALNAME()
- A. [Email Address] - USERNAME()
- B. [Employee Name] - USERPRINCIPALNAME()
- C. [Employee Name] = USERNAME() (correct)
Which column should you compare with the USERNAME() function in the DAX expression for dynamic row-level security (RLS) in Power BI?
Which column should you compare with the USERNAME() function in the DAX expression for dynamic row-level security (RLS) in Power BI?
- D. Job Title
- A. Email Address
- B. Employee Name (correct)
- C. Start Date
Where should the DAX expression for dynamic row-level security (RLS) be implemented?
Where should the DAX expression for dynamic row-level security (RLS) be implemented?
- A. Power BI Desktop only
- B. Power BI service only
- C. Both Power BI Desktop and the Power BI service (correct)
- D. None of the above
What is the purpose of implementing dynamic row-level security (RLS) in Power BI?
What is the purpose of implementing dynamic row-level security (RLS) in Power BI?
Study Notes
Dynamic Row-Level Security (RLS) in Power BI
- To create a table filter for dynamic row-level security (RLS) in Power BI, use a DAX expression.
- Compare the column containing user identities (e.g., usernames or emails) with the USERNAME() function in the DAX expression.
- Implement the DAX expression for dynamic row-level security (RLS) in the "Modeling" tab, under "Roles".
- The purpose of implementing dynamic row-level security (RLS) in Power BI is to restrict data access to specific users or groups, based on their roles or permissions, to ensure data security and confidentiality.
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Description
Test your knowledge on implementing dynamic row-level security in Power BI with this quiz. Learn how to create a table filter that allows users to see only their own employee data. Find out how to write a DAX expression that works in both Power BI Desktop and the Power BI service.
