Quick Answer
The answer is Power BI row-level security (RLS). This feature is the correct choice because it dynamically restricts data access at the row level based on predefined user roles and filters, such as filtering a sales table by store ID. When a store manager assigned to a specific role opens a report, RLS applies the filter automatically, ensuring they only see rows belonging to their store. On the PL-900 exam, this scenario tests your understanding of how Power BI enforces data security without duplicating reports or datasets. A common trap is confusing RLS with dashboard-level permissions or app workspaces—remember that RLS controls visibility within a single dataset, not who can open the report. For a quick memory tip: think “RLS = Row Lock per Store,” where each manager’s view is locked to their own rows.
This PL-900 practice question tests your understanding of describe the business value of microsoft power platform. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A retail chain uses Power BI to analyze sales data from multiple stores. They want to enable store managers to see only their store's data. What feature should they use?
Power Pages permissions
Why wrong: Power Pages is for websites, not Power BI.
Power Apps custom connector
Why wrong: Custom connectors don't restrict data visibility.
Power BI row-level security (RLS)
RLS restricts data access per user or role.
Power Automate to filter data
Why wrong: Power Automate is not for data access control.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Power BI row-level security (RLS)
Row-level security (RLS) in Power BI restricts data access at the row level based on user roles and filters. By defining roles that filter sales data by store ID and assigning store managers to their respective roles, each manager will only see their own store's data when viewing reports. This is the native Power BI feature designed for this exact scenario.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Power Pages permissions
Why it's wrong here
Power Pages is for websites, not Power BI.
Power Apps custom connector
Why it's wrong here
Custom connectors don't restrict data visibility.
Power BI row-level security (RLS)
Why this is correct
RLS restricts data access per user or role.
Related concept
Read the scenario before looking for a memorised answer.
Power Automate to filter data
Why it's wrong here
Power Automate is not for data access control.
Common exam traps
The trap here is that candidates may confuse Power Automate's ability to filter data in a flow with persistent, role-based security enforcement in Power BI, overlooking that RLS is the dedicated feature for per-user data visibility in reports.
Detailed technical explanation
RLS in Power BI works by defining roles in Power BI Desktop using DAX filter expressions (e.g., `[StoreID] = USERPRINCIPALNAME()`). When published to the Power BI service, these roles are applied dynamically based on the viewer's identity, ensuring that even if two managers access the same report, they see different rows. This is enforced server-side, so users cannot bypass the filters by modifying the report client-side.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Describe the business value of Microsoft Power Platform — This question tests Describe the business value of Microsoft Power Platform — Read the scenario before looking for a memorised answer..
The correct answer is: Power BI row-level security (RLS) — Row-level security (RLS) in Power BI restricts data access at the row level based on user roles and filters. By defining roles that filter sales data by store ID and assigning store managers to their respective roles, each manager will only see their own store's data when viewing reports. This is the native Power BI feature designed for this exact scenario.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
About these practice questions
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Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A retail company uses Power BI to analyze sales data. They want to allow store managers to view their own store's sales but not other stores. Which Power BI feature should they implement?
hardWhy B: Row-level security (RLS) in Power BI allows you to restrict data access for specific users based on roles and filters. By defining a role that filters sales data by store ID and assigning store managers to that role, each manager can only see their own store's sales, meeting the requirement without duplicating reports or data.
Last reviewed: Jun 24, 2026
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