AI-102 Implement computer vision solutions Practice Question
You are developing an application that processes images of handwritten forms. The forms contain checkboxes that may be checked or unchecked. Which Azure AI service should you use to detect the state of the checkboxes?
⚠ Common exam trap
A common mix-up: candidates confuse Azure AI Computer Vision's OCR capabilities with Document Intelligence's form-specific extraction, leading them to choose Computer Vision even though it cannot reliably detect checkbox states without additional custom logic.
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
✓
Azure AI Document Intelligence
Azure AI Document Intelligence (formerly Form Recognizer) is the correct service because it is specifically designed to extract structured data from documents, including detecting the state of checkboxes (checked or unchecked) in forms. It uses prebuilt models like the 'prebuilt-document' or custom extraction models to analyze form fields and checkbox selections, making it the optimal choice for this task.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Azure AI Custom Vision
Why it's wrong here
Custom Vision trains a bespoke image classifier or object detector, requiring labelled training data and a model per form layout. It cannot extract checkbox states from arbitrary handwritten forms out of the box; Form Recognizer's prebuilt and custom models do this directly.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language processes text for sentiment, entities, and key phrases; it cannot read pixels from a form image, so checkbox states are never detected. It is tempting because forms contain text, but the input here is an image requiring visual field extraction.
- ✓
Azure AI Document Intelligence
Why this is correct
Azure AI Document Intelligence includes a prebuilt read and custom form models that detect checkbox selection state via the selectionMark field, returning checked or unchecked. This directly satisfies the requirement to determine checkbox state on handwritten forms.
- ✗
Azure AI Computer Vision
Why it's wrong here
Computer Vision performs OCR and general image analysis but does not classify checkbox states on forms; it returns text and tags, not checked/unchecked values. It would be chosen for reading printed or handwritten text, not structured form field extraction.
Go deeper
Related to this question
About these practice questions
This AI-102 question is part of Courseiva's 761-question bank — original exam-style content with full explanations and wrong-answer analysis, never real exam questions or exam dumps. Learn why practice questions differ from exam dumps →
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This AI-102 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 AI-102 exam.