PL-900 Practice Question: Describe the business value of Microsoft Power Platform
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?
⚠ Common exam trap
Candidates often confuse data filtering in Power Automate (which operates on triggers and actions) with the declarative, role-based filtering of RLS, or they mistakenly think embedding tools like Power Apps can enforce security, when in fact RLS is the only native Power BI feature for row-level data access control.
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
✓
Row-level security (RLS)
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.
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 Apps embedding
Why it's wrong here
Embedding a report in Power Apps controls where the report appears, not which rows each manager may query, so row-level filtering is absent. It is tempting because Power Apps integration personalises the viewing experience, and would be correct for surfacing a report inside a custom store-operations app.
- ✓
Row-level security (RLS)
Why this is correct
Row-level security filters data by the signed-in user's identity, so each store manager sees only rows matching their own store. This directly satisfies the requirement to restrict visibility per store without duplicating datasets or building separate reports.
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Power Automate flows to filter data
Why it's wrong here
Power Automate orchestrates actions and notifications; it cannot restrict which rows a report viewer sees, so store managers could still read other stores' sales. It is tempting because flows integrate with Power BI, and would be correct for triggering alerts or refreshing datasets when a store's sales threshold is breached.
- ✗
Microsoft Copilot Studio
Why it's wrong here
Copilot Studio builds conversational agents and cannot enforce row-level security in a semantic model, so managers would still see all stores' data. It is tempting because it is a Power Platform authoring tool, and would be correct for creating a chat bot that answers natural-language questions about sales.
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