- A
Azure AI Speech
Why wrong: Azure AI Speech processes audio — image text extraction requires the vision/OCR service.
- B
Azure AI Vision (Read API / OCR)
Azure AI Vision's Read API extracts printed and handwritten text from images, including real-world photos of signs.
- C
Azure AI Language
Why wrong: Azure AI Language processes text — it doesn't extract text from images.
- D
Azure AI Translator
Why wrong: Azure AI Translator translates text between languages — it doesn't extract text from images.
Question 56 of 1,020
AI-900 Practice Question: Describe features of computer vision workloads on Azure
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.
Which Azure AI service can read text from a photo of a street sign taken by a mobile device?
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 Vision (Read API / OCR)
Azure AI Vision's Read API (part of the Computer Vision service) is designed to extract printed and handwritten text from images, including photos of street signs. It uses optical character recognition (OCR) to detect and digitize text, making it the correct choice for reading text from a mobile device photo.
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.
- ✗
Azure AI Speech
Why it's wrong here
Azure AI Speech processes audio — image text extraction requires the vision/OCR service.
- ✓
Azure AI Vision (Read API / OCR)
Why this is correct
Azure AI Vision's Read API extracts printed and handwritten text from images, including real-world photos of signs.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Language
Why it's wrong here
Azure AI Language processes text — it doesn't extract text from images.
- ✗
Azure AI Translator
Why it's wrong here
Azure AI Translator translates text between languages — it doesn't extract text from images.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure AI Vision's OCR capabilities with Azure AI Language's text analysis features, or mistakenly think Azure AI Speech can process visual text, when in fact only the Read API within Azure AI Vision is designed for extracting text from images.
Detailed technical explanation
How to think about this question
The Read API uses a deep-learning-based OCR engine that first detects text regions in an image, then recognizes characters and words, returning results with bounding boxes and confidence scores. It supports both printed and handwritten text across multiple languages and can handle skewed or rotated text, making it robust for real-world scenarios like street signs captured at various angles. Under the hood, it leverages convolutional neural networks (CNNs) for feature extraction and recurrent neural networks (RNNs) for sequence recognition.
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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
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FAQ
Questions learners often ask
What does this AI-900 question test?
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..
What is the correct answer to this question?
The correct answer is: Azure AI Vision (Read API / OCR) — Azure AI Vision's Read API (part of the Computer Vision service) is designed to extract printed and handwritten text from images, including photos of street signs. It uses optical character recognition (OCR) to detect and digitize text, making it the correct choice for reading text from a mobile device photo.
What should I do if I get this AI-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.
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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.
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