This AI-900 practice question tests your understanding of describe features of computer vision workloads on azure. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. 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.
A government agency needs to digitize thousands of handwritten application forms so that the text can be searched and processed. Which Azure Computer Vision capability should they use?
Object detection
Why wrong: Object detection identifies and locates objects (e.g., cars, people), not text.
Optical Character Recognition (Read API)
The Read API (OCR) extracts printed and handwritten text from images and documents.
Image classification
Why wrong: Image classification categorizes an entire image (e.g., 'cat' or 'dog'), not fine-grained text.
Face detection
Why wrong: Face detection locates human faces, not text content.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Optical Character Recognition (Read API)
The correct answer is B, Optical Character Recognition (Read API), because the agency needs to extract printed or handwritten text from images of application forms and make it searchable and processable. The Read API is specifically designed for this purpose, handling both printed and handwritten text, and is part of Azure Computer Vision's OCR capabilities.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Object detection
Why it's wrong here
Object detection identifies and locates objects (e.g., cars, people), not text.
Optical Character Recognition (Read API)
Why this is correct
The Read API (OCR) extracts printed and handwritten text from images and documents.
Related concept
Read the scenario before looking for a memorised answer.
Image classification
Why it's wrong here
Image classification categorizes an entire image (e.g., 'cat' or 'dog'), not fine-grained text.
Face detection
Why it's wrong here
Face detection locates human faces, not text content.
Common exam traps
The trap here is that candidates may confuse image classification (which categorizes the whole image) with OCR, not realizing that only OCR extracts actual text content for searchability.
Detailed technical explanation
The Read API uses a deep-learning-based OCR engine that first analyzes the image to detect text regions, then recognizes characters and words, returning results with bounding boxes and confidence scores. It supports both printed and handwritten text across multiple languages, and for large documents, it operates asynchronously to handle high-volume workloads efficiently. A subtle behavior is that the API can process rotated or skewed text, making it robust for real-world scanned forms.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Describe features of computer vision workloads on Azure — study guide chapter
Learn the concepts, then practise the questions
Describe features of computer vision workloads on Azure practice questions
Targeted practice on this topic area only
All AI-900 questions
1,020 questions across all exam domains
Microsoft Azure AI Fundamentals AI-900 study guide
Full concept coverage aligned to exam objectives
AI-900 practice test guide
How to use practice tests most effectively before exam day
Related practice questions
Use these pages to review the topic behind this question. This is how one missed question becomes focused revision.
Practise AI-900 questions linked to Describe Artificial Intelligence workloads and considerations.
Practise AI-900 questions linked to Describe fundamental principles of machine learning on Azure.
Practise AI-900 questions linked to Describe features of computer vision workloads on Azure.
Practise AI-900 questions linked to Describe features of Natural Language Processing workloads on Azure.
Practise AI-900 questions linked to Describe features of generative AI workloads on Azure.
Practise AI-900 questions linked to AI-900 fundamentals.
Practise AI-900 questions linked to AI-900 scenario.
Practise AI-900 questions linked to AI-900 troubleshooting.
Practice this exam
Short sessions build daily habit. Longer sessions build exam-day stamina. Try a timed session to simulate real conditions.
FAQ
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Optical Character Recognition (Read API) — The correct answer is B, Optical Character Recognition (Read API), because the agency needs to extract printed or handwritten text from images of application forms and make it searchable and processable. The Read API is specifically designed for this purpose, handling both printed and handwritten text, and is part of Azure Computer Vision's OCR capabilities.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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 →
Last reviewed: Jun 11, 2026
This AI-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 AI-900 exam.
Question Discussion
Share a tip, memory trick, or ask about the reasoning behind this question. Do not post real exam questions, leaked content, braindumps, or copyrighted exam material. Comments are moderated and may be removed without notice.
Sign in to join the discussion.