PL-900 Demonstrate the capabilities of Power Apps Practice Question
A healthcare organization needs a Power Apps app to track patient visit data. The data must be stored in Microsoft Dataverse, and the app should automatically generate a timeline of visits for each patient. Which app type is most suitable?
⚠ Common exam trap
A common mix-up: candidates choose Canvas app because they think custom UI is needed for a timeline, but model-driven apps already include a native timeline component that automatically binds to Dataverse relationships, making it the correct choice for structured data tracking.
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
✓
Model-driven app
A model-driven app is the most suitable choice because it is designed for complex, data-centric business applications that require rich relational data modeling, automated business logic, and built-in timeline controls. Dataverse provides the underlying relational storage, and model-driven apps natively support timeline components that automatically aggregate and display patient visit records in chronological order without custom development.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Portal
Why it's wrong here
Portals expose Dataverse data to external users through websites; they do not build internal model-driven forms or timelines. Portals are tempting for patient-facing access, but this scenario needs an internal app whose Dataverse tables render an automatic visit timeline.
- ✓
Model-driven app
Why this is correct
Model-driven apps render Dataverse tables as forms, views and dashboards, and the timeline control automatically surfaces related visit records for each patient. This satisfies the Dataverse storage and auto-generated timeline constraints without custom canvas coding.
- ✗
Power Automate
Why it's wrong here
Power Automate orchestrates flows and approvals; it cannot render an interactive app or a Dataverse timeline view. It is tempting because it automates Dataverse record events, but the requirement is an app surface, which model-driven apps supply through native timeline components.
- ✗
Canvas app
Why it's wrong here
Canvas apps offer pixel-level control over a blank layout but provide no automatic Dataverse timeline control; model-driven apps generate timelines natively from Dataverse tables. Canvas suits bespoke UI over varied connectors, yet here the timeline requirement demands model-driven metadata-driven rendering.
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