Static RLS rules in Power BI - Cheat Sheet & Quick Revision

Recall & Review

beginner

What does RLS stand for in Power BI?

RLS stands for Row-Level Security. It controls which rows of data a user can see in a report.

beginner

What is a static RLS rule?

A static RLS rule is a fixed filter applied to data that does not change based on the user. It restricts data to certain rows for all users assigned to that role.

intermediate

How do you create a static RLS rule in Power BI?

You create a role in Power BI Desktop and define a DAX filter expression that limits data rows. This filter is the static rule applied to all users in that role.

beginner

Example of a simple static RLS DAX filter to show only sales from the USA?

[Country] = "USA" filters data to only rows where the Country column equals USA.

beginner

What happens if a user is not assigned to any RLS role?

The user can see all data without any row restrictions because no RLS filter applies to them.

What does a static RLS rule do in Power BI?

A Removes all filters from the report

B Filters data rows the same way for all users in a role

C Changes data based on the logged-in user dynamically

D Allows users to edit data in the report

Static RLS applies a fixed filter to data for all users in a role, restricting rows the same way for everyone assigned.

Which language is used to define RLS filters in Power BI?

A SQL

B Python

C M

D DAX

DAX (Data Analysis Expressions) is used to write filter expressions for RLS in Power BI.

If a static RLS rule is [Region] = "East", what data will users in that role see?

A Only rows where Region is East

B All rows except those where Region is East

C No rows at all

D All rows regardless of Region

The filter limits data to rows where the Region column equals East.

Can static RLS rules change dynamically based on the user?

A Only if you use Python scripts

B Yes, always

C No, static rules do not change per user

D Only in Power Query

Static RLS rules are fixed filters and do not change based on the user. Dynamic RLS requires different setup.

What must you do after creating a static RLS role in Power BI Desktop to test it?

A Use the 'View as Role' feature to see filtered data

B Publish the report immediately

C Restart Power BI Desktop

D Delete all other roles

The 'View as Role' feature lets you test how data looks with the RLS filter applied before publishing.

Explain what static RLS rules are and how they control data visibility in Power BI.

Think about how a fixed filter limits data for all users in a role.

Describe the steps to create and test a static RLS rule in Power BI Desktop.

Focus on the process from role creation to testing the filter.

Practice

1. What is the main purpose of Static Row-Level Security (RLS) in Power BI?

easy

A. To restrict data access using fixed filter conditions

B. To dynamically change data access based on user input

C. To create interactive visualizations

D. To improve data refresh speed

Solution

1. Step 1: Understand Static RLS concept

   Static RLS uses fixed filter rules to limit data access for users.

2. Step 2: Compare with other options

   Dynamic changes or visualization improvements are not the purpose of Static RLS.

3. Final Answer:

   To restrict data access using fixed filter conditions -> Option A

4. Quick Check:

   Static RLS = fixed filters [OK]

Hint: Static RLS means fixed filters for data access [OK]

Common Mistakes:

• Confusing static with dynamic RLS
• Thinking RLS improves performance
• Mixing RLS with visualization features

2. Which of the following is the correct syntax to define a static RLS filter on a 'Region' column in Power BI?

easy

A. Region == "North"

B. FILTER(Region, Region = "North")

C. Region = "North"

D. Region IN ("North")

Solution

1. Step 1: Identify correct filter syntax for static RLS

   Static RLS uses simple filter expressions like Column = "Value".

2. Step 2: Evaluate options

   Region = "North" uses correct single equals sign and quotes. FILTER(Region, Region = "North") is a function, not direct filter. Region == "North" uses double equals which is invalid in Power BI filter. Region IN ("North") uses IN syntax which is not supported in static RLS filter expression.

3. Final Answer:

   Region = "North" -> Option C

4. Quick Check:

   Static RLS filter = Column = "Value" [OK]

Hint: Use single equals sign for static RLS filters [OK]

Common Mistakes:

• Using double equals (==) instead of single equals (=)
• Using FILTER function inside static RLS
• Using unsupported IN syntax

3. Given a static RLS rule on the 'Department' column with filter Department = "Sales", what data will a user assigned this role see?

medium

A. Rows where Department is Sales or Marketing

B. Only rows where Department is Sales

C. All rows except those where Department is Sales

D. No rows at all

Solution

1. Step 1: Understand the filter condition

   The filter Department = "Sales" restricts data to only Sales department rows.

2. Step 2: Analyze each option

   Only rows where Department is Sales matches the filter exactly. All rows except those where Department is Sales is the opposite. Rows where Department is Sales or Marketing includes Marketing which is not in the filter. No rows at all means no data, which is incorrect.

3. Final Answer:

   Only rows where Department is Sales -> Option B

4. Quick Check:

   Filter Department = Sales shows only Sales rows [OK]

Hint: Filter equals value means only that value's rows show [OK]

Common Mistakes:

• Assuming filter excludes the value instead of including
• Thinking filter includes multiple values without OR
• Confusing filter with dynamic RLS

4. You created a static RLS rule with filter Region = "East" but users assigned to this role still see all data. What is the most likely cause?

medium

A. Static RLS does not restrict data

B. The filter syntax is incorrect

C. The data model has no Region column

D. The RLS role was not assigned to the users

Solution

1. Step 1: Check role assignment

   Static RLS only restricts data if users are assigned to the role with the filter.

2. Step 2: Evaluate other causes

   Filter syntax is correct, Region column exists, and static RLS does restrict data. So the most likely cause is missing user assignment.

3. Final Answer:

   The RLS role was not assigned to the users -> Option D

4. Quick Check:

   Users must be assigned roles for RLS to apply [OK]

Hint: Assign users to roles to activate RLS filters [OK]

Common Mistakes:

• Assuming filter syntax error without checking assignments
• Thinking static RLS is ineffective
• Ignoring data model columns

5. You want to create static RLS rules to restrict sales data by region: North users see only North region data, South users see only South region data. Which approach is best?

hard

A. Create two roles with filters: Region = "North" and Region = "South", then assign users accordingly

B. Create one role with filter Region IN ("North", "South") and assign all users

C. Create no roles and rely on report filters

D. Create one role with filter Region = USERNAME()

Solution

1. Step 1: Understand requirement for static RLS by region

   Each region needs a separate fixed filter to restrict data accordingly.

2. Step 2: Evaluate options

   Create two roles with filters: Region = "North" and Region = "South", then assign users accordingly creates two roles with fixed filters and assigns users correctly. Create one role with filter Region IN ("North", "South") and assign all users allows all users to see both regions, which is incorrect. Create no roles and rely on report filters does not restrict data. Create one role with filter Region = USERNAME() uses dynamic USERNAME() which is not static RLS.

3. Final Answer:

   Create two roles with filters: Region = "North" and Region = "South", then assign users accordingly -> Option A

4. Quick Check:

   Separate roles with fixed filters for each region [OK]

Hint: Use separate roles with fixed filters for each group [OK]

Common Mistakes:

• Using one role for multiple regions
• Confusing static with dynamic RLS
• Relying on report filters instead of RLS