PL-900 Demonstrate the capabilities of Power Apps Practice Question
A company wants to build a Power App that uses AI to analyze survey responses and extract sentiment. Which Power Platform capability should they use?
⚠ Common exam trap
PL-900 often tests the boundary between platform components — candidates confuse Power Automate (orchestration) and Power BI (visualization) with AI Builder (the actual AI model), picking a tool that could call sentiment analysis rather than the capability that performs it.
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
✓
AI Builder sentiment analysis model
AI Builder provides prebuilt AI models, including a sentiment analysis model, that can be invoked directly from Power Apps and Power Automate without custom ML code. For analyzing survey text and extracting sentiment, the AI Builder sentiment analysis model is the purpose-built capability. It returns a sentiment score and label per response, which can then be stored or visualized.
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 BI dashboards
Why it's wrong here
Power BI dashboards visualise and report on data already processed; they cannot perform sentiment extraction on survey text. AI Builder provides the prebuilt sentiment model that returns a score per response. Power BI is correct when the requirement is interactive reporting and analytics over an existing dataset, not AI inference.
- ✗
Power Automate flows
Why it's wrong here
Power Automate orchestrates triggers and actions between services but has no built-in sentiment model; it would need to call AI Builder to analyse text. AI Builder supplies the prebuilt sentiment model directly. Power Automate is correct when the requirement is automating approvals, notifications or data movement between systems.
- ✓
AI Builder sentiment analysis model
Why this is correct
AI Builder's prebuilt sentiment analysis model classifies text as positive, negative or neutral and returns confidence scores. It plugs into Power Apps and Power Automate, so survey responses can be scored automatically without training a custom model.
- ✗
Power Apps Canvas app with formulas
Why it's wrong here
Canvas formulas handle logic and data operations but contain no sentiment analysis model; AI Builder's prebuilt sentiment model performs that extraction. Formulas would be the right approach for calculations, validation or navigation within an app, not for interpreting survey text. The scenario needs the AI capability directly.
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Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Microsoft exam blueprint
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