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Power BIbi_tool~5 mins

Why RLS protects sensitive data in Power BI - Quick Recap

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Recall & Review
beginner
What does RLS stand for in Power BI?
RLS stands for Row-Level Security. It controls access to data at the row level based on user roles.
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beginner
How does RLS protect sensitive data?
RLS restricts which rows of data a user can see, so users only view data they are allowed to access.
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beginner
Why is RLS important for shared reports?
Because multiple users can access the same report but see only their allowed data, keeping sensitive info private.
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beginner
What happens if RLS is not used in a report with sensitive data?
All users might see all data, including sensitive information they shouldn’t access, risking data leaks.
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intermediate
Can RLS be customized for different users?
Yes, RLS roles can be created with different filters so each user sees only the data relevant to them.
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What is the main purpose of Row-Level Security (RLS) in Power BI?
ATo export data to Excel
BTo improve report loading speed
CTo restrict data access based on user roles
DTo change report colors automatically
If RLS is not applied, what risk does a report have?
AReport will not open
BUsers may see all data including sensitive info
CData will be deleted automatically
DReport will load faster
How does RLS filter data for users?
ABy applying filters on rows based on user roles
BBy changing column names
CBy hiding visuals
DBy exporting data
Can RLS be set differently for different users in the same report?
AYes, by creating different roles with filters
BNo, RLS applies the same filter to all users
COnly for admins
DOnly for report creators
Which of these is NOT a benefit of using RLS?
AProtecting sensitive data
BAllowing users to see only relevant data
CSharing one report with multiple users securely
DAutomatically fixing data errors
Explain in your own words how RLS helps protect sensitive data in Power BI reports.
Think about who can see what data when RLS is applied.
You got /4 concepts.
    Describe what could happen if you share a report with sensitive data but do not use RLS.
    Consider the risks of no restrictions on data visibility.
    You got /4 concepts.