PL-900 Practice Question: Describe the business value of Microsoft Power Platform
Which THREE of the following are capabilities of AI Builder within Power Platform? (Choose three.)
⚠ Common exam trap
It's easy for candidates to confuse AI Builder's ability to train custom models (which is limited to specific templates) with full custom machine learning model development from scratch, which is not supported.
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
✓
Text recognition (OCR) from images and PDFs.
Option A is correct because AI Builder provides a prebuilt text recognition (OCR) capability that extracts printed or handwritten text from images and PDF documents. Option C is correct because AI Builder includes prebuilt object detection models that identify and locate objects within images. Option D is correct because AI Builder offers form processing models that extract structured data such as key-value pairs and tables from documents like invoices and receipts. Option B is not correct because AI Builder is designed for prebuilt and customizable prebuilt models, not for training custom machine learning models entirely from scratch. Option E is not correct because building custom user interfaces for mobile apps is a Power Apps capability, not an AI Builder capability.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Text recognition (OCR) from images and PDFs.
Why this is correct
AI Builder's prebuilt text recognition model extracts printed and handwritten text from images and PDFs using optical character recognition, requiring no custom training. This directly satisfies the stem's demand for a genuine AI Builder capability, since document processing is one of its core prebuilt model categories alongside form processing and prediction.
- ✗
Custom machine learning model training from scratch.
Why it's wrong here
AI Builder provides prebuilt and customisable models trained on your data through a guided interface, not from-scratch machine learning engineering. Training from scratch requires Azure Machine Learning. AI Builder suits citizen developers needing prediction, form processing or object detection without data-science expertise.
- ✓
Object detection in images.
Why this is correct
Object detection is a prebuilt AI Builder model that identifies and locates multiple objects within images, returning bounding boxes with confidence scores. This satisfies the stem's requirement for a genuine AI Builder capability, as it is trainable and consumable directly within Power Apps and Power Automate flows.
- ✓
Form processing to extract data from documents.
Why this is correct
AI Builder's form processing uses prebuilt document models to extract structured fields — such as invoice totals or receipt dates — from uploaded PDFs and images, satisfying the stem's requirement for a genuine AI Builder capability. It operates without custom code, integrating directly into Power Automate flows and Power Apps.
- ✗
Building custom user interfaces for mobile apps.
Why it's wrong here
AI Builder adds AI capabilities such as prediction, category classification and form processing; interface design belongs to Power Apps canvas and model-driven controls. Building mobile UIs is a Power Apps task. AI Builder would be the choice when embedding a trained model into an app or flow.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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