Managing RLS in Service in Power BI - Interactive Code Practice

Practice - 5 Tasks

1fill in blank

easy

Complete the code to define a role filter in Power BI Desktop.

Power BI

FILTER('Sales', 'Sales'[Region] = [1])

Drag options to blanks, or click blank then click option'

A'North'

BNorth

C"North"

DRegion

Attempts:

3 left

💡 Hint

Common Mistakes

Forgetting to put quotes around text values.

Using double quotes instead of single quotes for strings.

In Power BI DAX, text values must be enclosed in single quotes inside the FILTER function.

2fill in blank

medium

Complete the DAX expression to create a dynamic RLS filter based on the USERNAME function.

Power BI

FILTER('Employees', 'Employees'[Email] = [1]())

Drag options to blanks, or click blank then click option'

AUSERNAME

BUSERPRINCIPALNAME

CUSEREMAIL

DUSERID

Attempts:

3 left

💡 Hint

Common Mistakes

Using USERNAME() which returns a different format.

Using non-existent functions like USEREMAIL().

USERPRINCIPALNAME() returns the logged-in user's email or login name, commonly used for dynamic RLS.

3fill in blank

hard

Fix the error in the DAX expression for RLS that filters sales by region.

Power BI

FILTER('Sales', 'Sales'[Region] [1] "West")

Drag options to blanks, or click blank then click option'

A!=

B==

C=

D===

Attempts:

3 left

💡 Hint

Common Mistakes

Using '==' or '===' which cause syntax errors.

Using '!=' when equality is needed.

In DAX, the equality operator is a single equals sign (=), not double or triple equals.

4fill in blank

hard

Fill both blanks to create a role filter that allows access only if the user's department matches the data.

Power BI

FILTER('Employees', 'Employees'[Department] [1] USERPRINCIPALNAME() [2] 'Employees'[Email])

Drag options to blanks, or click blank then click option'

A=

B&&

D||

Attempts:

3 left

💡 Hint

Common Mistakes

Using || instead of && which changes logic.

Using == instead of = for comparison.

The filter uses equality (=) to compare department and email, combined with a logical AND (&&) to combine conditions.

5fill in blank

hard

Fill all three blanks to create a DAX expression that filters sales data for the current user and only for the current year.

Power BI

FILTER('Sales', 'Sales'[SalespersonEmail] = [1]() [2] YEAR('Sales'[Date]) [3] YEAR(TODAY()))

Drag options to blanks, or click blank then click option'

AUSERPRINCIPALNAME

B&&

C=

D||

Attempts:

3 left

💡 Hint

Common Mistakes

Using USERNAME() instead of USERPRINCIPALNAME().

Using || instead of && which changes logic.

Using == instead of = for equality.

This expression filters sales where the salesperson email matches the logged-in user and the sale year equals the current year, combining conditions with AND (&&) and using = for equality.

Practice

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

easy

A. To change the report layout based on user preferences

B. To improve report loading speed by caching data

C. To create new data columns dynamically in reports

D. To restrict data access so users see only data they are allowed to view

Solution

1. Step 1: Understand RLS purpose

   RLS is designed to limit data visibility for different users based on roles.

2. Step 2: Identify correct purpose in options

   Only To restrict data access so users see only data they are allowed to view describes restricting data access to authorized users.

3. Final Answer:

   To restrict data access so users see only data they are allowed to view -> Option D

4. Quick Check:

   RLS controls data visibility = D [OK]

Hint: RLS controls who sees what data in reports [OK]

Common Mistakes:

• Confusing RLS with report performance features
• Thinking RLS changes report design
• Assuming RLS creates new data columns

2. Which step must be done in Power BI Service after defining roles in Power BI Desktop to enforce RLS?

easy

A. Assign users or groups to the defined roles

B. Create new calculated columns for roles

C. Publish the report again without changes

D. Change the data source credentials

Solution

1. Step 1: Recall RLS workflow

   After defining roles in Desktop, you must assign users to those roles in Service.

2. Step 2: Match correct action in options

   Only Assign users or groups to the defined roles describes assigning users to roles, which activates RLS.

3. Final Answer:

   Assign users or groups to the defined roles -> Option A

4. Quick Check:

   Assign users to roles in Service = A [OK]

Hint: Assign users to roles in Service to activate RLS [OK]

Common Mistakes:

• Thinking you must create columns for RLS in Service
• Assuming republishing alone enforces RLS
• Confusing data source credentials with RLS setup

3. Given a role defined with filter [Region] = "West", what data will a user assigned to this role see in the report?

medium

A. Data from all regions without filtering

B. All data except Region West

C. Only data where Region is West

D. No data will be visible

Solution

1. Step 1: Understand role filter meaning

   The filter [Region] = "West" limits data to rows where Region equals West.

2. Step 2: Determine visible data for user

   User assigned to this role sees only data matching the filter, i.e., Region = West.

3. Final Answer:

   Only data where Region is West -> Option C

4. Quick Check:

   Role filter = visible data = C [OK]

Hint: Role filters show only matching data rows [OK]

Common Mistakes:

• Assuming filter excludes matching data
• Thinking user sees all data regardless of filter
• Believing filter hides all data

4. You assigned users to roles in Power BI Service but they still see all data. What is the most likely issue?

medium

A. Users were assigned to roles correctly

B. Roles were not published from Power BI Desktop

C. Data source credentials are invalid

D. Report visuals are not refreshed

Solution

1. Step 1: Check role publishing status

   Roles must be defined and published from Desktop to Service for RLS to work.

2. Step 2: Identify why users see all data

   If roles are not published, assignments in Service have no effect, so users see all data.

3. Final Answer:

   Roles were not published from Power BI Desktop -> Option B

4. Quick Check:

   Roles must be published for RLS to apply = A [OK]

Hint: Publish roles from Desktop before assigning users [OK]

Common Mistakes:

• Assuming assigning users alone activates RLS
• Blaming data source credentials for RLS issues
• Forgetting to refresh report visuals

5. You have two roles: SalesWest with filter [Region] = "West" and SalesEast with filter [Region] = "East". A user belongs to both roles. What data will they see in the report?

hard

A. Data where Region is West or East

B. Data where Region is both West and East simultaneously

C. Only data from the first assigned role

D. No data because roles conflict

Solution

1. Step 1: Understand multiple role behavior

   When a user has multiple roles, Power BI combines filters with OR logic.

2. Step 2: Apply OR logic to role filters

   User sees data where Region = West OR Region = East, so both regions' data are visible.

3. Final Answer:

   Data where Region is West or East -> Option A

4. Quick Check:

   Multiple roles combine filters with OR = B [OK]

Hint: Multiple roles combine filters with OR logic [OK]

Common Mistakes:

• Thinking filters combine with AND logic
• Assuming only one role applies
• Believing conflicting roles block all data