- A
Azure AI Face
Why wrong: Face API detects faces.
- B
Azure AI Document Intelligence
Document Intelligence extracts text from documents.
- C
Azure AI Video Indexer
Why wrong: Video Indexer works with video, not static images.
- D
Azure AI Computer Vision
Computer Vision includes OCR capabilities.
- E
Azure AI Custom Vision
Why wrong: Custom Vision does not extract text.
AI-102 Implement computer vision solutions Practice Question
This AI-102 practice question tests your understanding of implement computer vision solutions. 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 TWO Azure AI services can be used to extract text from images?
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) includes the Read OCR engine that extracts printed and handwritten text from images and documents. Azure AI Computer Vision provides the OCR API (optical character recognition) which can extract text from images, including both printed and handwritten text, and supports multiple languages. Both services are designed specifically for text extraction from visual content.
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 Face
Why it's wrong here
Face API detects faces.
- ✓
Azure AI Document Intelligence
Why this is correct
Document Intelligence extracts text from documents.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Video Indexer
Why it's wrong here
Video Indexer works with video, not static images.
- ✓
Azure AI Computer Vision
Why this is correct
Computer Vision includes OCR capabilities.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure AI Custom Vision
Why it's wrong here
Custom Vision does not extract text.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure AI Video Indexer's ability to extract text from video frames as a primary image text extraction service, but it is designed for video analysis and indexing, not standalone image text extraction.
Detailed technical explanation
How to think about this question
Under the hood, Azure AI Document Intelligence uses the Read OCR model (based on the latest Transformer-based architecture) that can extract text from complex layouts, tables, and handwritten content. Azure AI Computer Vision's OCR API leverages the same underlying OCR engine but is accessed via a different endpoint and is optimized for general image text extraction. Both services return bounding box coordinates and confidence scores for each detected text element, enabling downstream processing like text search or document digitization.
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this AI-102 question test?
Implement computer vision solutions — This question tests Implement computer vision solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure AI Document Intelligence — Azure AI Document Intelligence (formerly Form Recognizer) includes the Read OCR engine that extracts printed and handwritten text from images and documents. Azure AI Computer Vision provides the OCR API (optical character recognition) which can extract text from images, including both printed and handwritten text, and supports multiple languages. Both services are designed specifically for text extraction from visual content.
What should I do if I get this AI-102 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
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Last reviewed: Jun 24, 2026
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.
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