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Dynamic Row-Level Security in Power BI Quiz

4 Questions

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Dynamic Row-Level Security in Power BI Quiz

Created by

@GorgeousReasoning5159

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Questions and Answers

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?

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?

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?

<p>C. To restrict access to specific rows in the data model</p> Signup and view all the answers

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.