- A
Sentiment analysis
AI Builder can analyze sentiment in text.
- B
Replacing Azure Machine Learning
Why wrong: AI Builder is not a replacement; it's a complementary tool.
- C
Object detection in images
AI Builder includes object detection.
- D
Form processing
AI Builder can extract data from forms.
- E
Building custom machine learning models from scratch
Why wrong: AI Builder provides pre-built models, not custom model building.
Quick Answer
The answer is form processing, object detection, and text recognition (OCR). These are core AI Builder capabilities within Power Platform because the service is designed to bring prebuilt and custom AI models directly into Power Apps and Power Automate without requiring coding or data science expertise. Form processing uses AI to extract key-value pairs and table data from documents, object detection identifies and counts items in images, and text recognition reads printed or handwritten text from images and PDFs. On the PL-900 exam, this question tests your understanding of which tasks AI Builder handles versus what requires Azure Cognitive Services or custom ML; a common trap is confusing sentiment analysis or prediction models as built-in capabilities when they are actually separate prebuilt models you must explicitly add. To remember the three core capabilities, think of the acronym FOT: Forms, Objects, and Text—these are the visual data types AI Builder processes directly in your flows and apps.
PL-900 Practice Question: Describe the business value of Microsoft Power Platform
This PL-900 practice question tests your understanding of describe the business value of microsoft power platform. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
Which THREE of the following are capabilities of AI Builder within Power Platform? (Select three.)
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
Sentiment analysis
Option A is correct because AI Builder includes a prebuilt sentiment analysis model that analyzes text and returns sentiment scores (positive, negative, neutral, or mixed) using natural language processing (NLP). This capability allows Power Apps and Power Automate to assess customer feedback, social media posts, or survey responses without requiring custom machine learning expertise.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Sentiment analysis
Why this is correct
AI Builder can analyze sentiment in text.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Replacing Azure Machine Learning
Why it's wrong here
AI Builder is not a replacement; it's a complementary tool.
- ✓
Object detection in images
Why this is correct
AI Builder includes object detection.
Related concept
Read the scenario before looking for a memorised answer.
- ✓
Form processing
Why this is correct
AI Builder can extract data from forms.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Building custom machine learning models from scratch
Why it's wrong here
AI Builder provides pre-built models, not custom model building.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse AI Builder's ability to train custom models (e.g., for object detection or form processing) with building machine learning models from scratch, which is not supported—AI Builder only allows customization of prebuilt model templates, not full model architecture design.
Detailed technical explanation
How to think about this question
AI Builder's object detection model (Option C) uses a pre-trained convolutional neural network (CNN) that can be retrained with custom images via transfer learning, enabling identification of specific objects in images without writing code. Form processing (Option D) leverages optical character recognition (OCR) and key-value pair extraction to parse structured data from documents like invoices and purchase orders, outputting results as structured JSON for downstream automation. Both capabilities run on Azure Cognitive Services under the hood, but AI Builder abstracts the API calls and model management into a point-and-click experience within Power Platform.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
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FAQ
Questions learners often ask
What does this PL-900 question test?
Describe the business value of Microsoft Power Platform — This question tests Describe the business value of Microsoft Power Platform — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Sentiment analysis — Option A is correct because AI Builder includes a prebuilt sentiment analysis model that analyzes text and returns sentiment scores (positive, negative, neutral, or mixed) using natural language processing (NLP). This capability allows Power Apps and Power Automate to assess customer feedback, social media posts, or survey responses without requiring custom machine learning expertise.
What should I do if I get this PL-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
About these practice questions
Courseiva creates original exam-style practice questions with explanations and wrong-answer analysis. It does not publish real exam questions, exam dumps, or protected exam content. Learn why practice questions differ from exam dumps →
Same concept, more angles
2 more ways this is tested on PL-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. Which THREE of the following are capabilities of AI Builder within Power Platform? (Choose three.)
medium- ✓ A.Text recognition (OCR) from images and PDFs.
- B.Custom machine learning model training from scratch.
- ✓ C.Object detection in images.
- ✓ D.Form processing to extract data from documents.
- E.Building custom user interfaces for mobile apps.
Why A: Option A is correct because AI Builder includes a prebuilt model for text recognition (OCR) that can extract printed and handwritten text from images and PDFs. This capability is part of the AI Builder category of prebuilt models, which are ready to use without requiring custom training.
Variation 2. Which TWO are examples of using AI Builder within Power Platform? (Select TWO)
easy- A.Setting up a Power Automate trigger when a new email arrives.
- ✓ B.Extracting text from scanned invoices using prebuilt models.
- C.Designing a custom screen in a Power Apps canvas app.
- D.Creating a Power BI dashboard to visualize sales data.
- ✓ E.Identifying objects in images using a custom object detection model.
Why B: Option B is correct because AI Builder provides prebuilt models that can extract text and data from scanned invoices without requiring custom machine learning expertise. This capability integrates directly into Power Automate and Power Apps, enabling automated processing of invoice data within the Power Platform.
Last reviewed: Jun 24, 2026
This PL-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the PL-900 exam.
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