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. The data is stored in an Azure SQL Database. The company wants to give store managers access to a dashboard that shows their store's sales compared to the company average. However, store managers should not see other stores' data. The company also wants to automate the process of sending a weekly sales report to regional managers via email. The regional managers need to see aggregated data for their region. You need to implement a solution using Power Platform components. What should you do?
⚠ Common exam trap
Test-takers frequently confuse Power BI dashboards with paginated reports, assuming a standard dashboard can be emailed directly, but Power BI requires a paginated report or a subscription feature for scheduled email delivery, and RLS is the only secure way to enforce per-store data isolation without duplicating datasets.
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
✓
Create a Power BI dataset with RLS to filter by store, publish a dashboard, and use a scheduled Power Automate flow to email a paginated report to regional managers.
It uses Power BI Row-Level Security (RLS) to restrict store managers to only their store's data while allowing regional managers to see aggregated data via a paginated report. The scheduled Power Automate flow automates the weekly email delivery, meeting both security and automation requirements without manual intervention.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create a Power Automate flow that runs a SQL query and sends the results via email, and give store managers access to the Azure SQL Database directly.
Why it's wrong here
Direct Azure SQL access bypasses Power BI row-level security, exposing every store's rows to each manager, and a raw SQL email flow cannot render the comparative dashboard. It is tempting as a low-code shortcut; it would fit internal analysts already trusted with full database read access.
- ✗
Create separate Power BI dashboards for each store and each region, and manually share them.
Why it's wrong here
Creating separate dashboards for each store and region would require manual sharing and maintenance, failing the requirement to automate the weekly emailed report to regional managers, which demands a scheduled data export or subscription mechanism. This approach is tempting because manually crafted, role-specific dashboards can enforce row-level security in a small deployment, and would be correct if the scenario lacked the automation requirement and involved only a few static reports.
- ✓
Create a Power BI dataset with RLS to filter by store, publish a dashboard, and use a scheduled Power Automate flow to email a paginated report to regional managers.
Why this is correct
Row-level security on the dataset filters each store manager to their own store's rows, while the scheduled Power Automate flow delivers a paginated report containing regional aggregates to regional managers. This satisfies both the per-store isolation and automated regional email requirements.
- ✗
Use Power Apps to build a custom dashboard for each store, and use Power Automate to email reports.
Why it's wrong here
Power Apps cannot enforce row-level security on the underlying Azure SQL data, so each store manager's app would still query the full sales table. It is tempting because Power Apps builds dashboards quickly; it would suit data-entry or write-back apps, not secured comparative reporting.
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Senior Network & Security Engineer · founder of Courseiva
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