AI-102 Implement computer vision solutions Practice Question
A company is building a solution to analyze customer reviews images using Azure AI Vision. They need to extract text from images that may contain both printed and handwritten text. Which feature should they use?
⚠ Common exam trap
Candidates often confuse the OCR API with the Read API, assuming both handle handwritten text equally, but the OCR API is limited to printed text while the Read API is the only one that natively supports mixed printed and handwritten content.
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
✓
Read API
The Read API is the correct choice because it is specifically designed to extract text from images containing both printed and handwritten text, using advanced OCR capabilities that support mixed content. Unlike the OCR API, which is optimized for printed text only, the Read API leverages deep learning models to handle varied handwriting styles and complex layouts, making it ideal for analyzing customer review images.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Custom Vision
Why it's wrong here
Custom Vision is for image classification and object detection, not text extraction.
- ✗
OCR API (optical character recognition)
Why it's wrong here
The OCR API is limited to printed text and not optimized for handwritten text.
- ✓
Read API
Why this is correct
The Read API is designed to extract both printed and handwritten text from images.
- ✗
Azure AI Document Intelligence
Why it's wrong here
Document Intelligence is for structured documents like invoices and forms, not general images.
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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.