PL-900 Practice Question: Describe the business value of Microsoft Power Platform
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?
⚠ Common exam trap
A common mix-up: candidates 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.
Answer choices
Why each option matters
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.
Answer analysis
Option-by-option breakdown
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 permissions govern access to external-facing website content and forms, not row-level filtering inside Power BI semantic models. Store managers need row-level security roles defined on the dataset, mapping each manager's identity to their store. Power Pages would be tempting when building a customer-facing portal that surfaces Power BI visuals.
- ✗
Power Apps custom connector
Why it's wrong here
A Power Apps custom connector exposes an external API to Power Apps, and applies no filter to Power BI report data. Custom connectors are correct when integrating a bespoke REST service into an app, not for restricting store managers to their own store's rows.
- ✓
Power BI row-level security (RLS)
Why this is correct
Row-level security applies DAX filter expressions to a role, restricting each store manager's dataset rows to their own store while sharing one semantic model. This satisfies the stem's constraint of per-store data visibility without duplicating reports.
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Power Automate to filter data
Why it's wrong here
Power Automate triggers flows on events or schedules; it cannot restrict what a user sees inside a Power BI report. It is the right choice for automating actions such as emailing a report or refreshing a dataset, not for enforcing row-level data visibility.
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