AI-900 Practice Question: Describe features of computer vision workloads on Azure
What does Azure AI Vision's 'optical character recognition' (OCR) feature do?
⚠ Common exam trap
Many exam-takers confuse OCR with other computer vision tasks like object detection (Option C) or assume OCR includes post-processing like spell checking (Option D), when in fact OCR is strictly about text extraction from visual media.
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
✓
Extracts printed and handwritten text from images and documents
Azure AI Vision's OCR feature is designed to extract printed and handwritten text from images and documents, converting visual text into machine-readable data. This is correct because OCR uses deep learning models to detect and read text characters from various visual sources, enabling downstream processing like search or analysis.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Converts text files into images for archival purposes
Why it's wrong here
This describes the opposite direction: turning editable text into an image is text rendering or image generation, not text extraction. OCR performs image-to-text by analysing pixel patterns that correspond to letters and numbers; it does not create images from text. Archiving text as images would lose machine-readability and, ironically, requires OCR later if text must be retrieved.
- ✓
Extracts printed and handwritten text from images and documents
Why this is correct
OCR—the Optical Character Recognition engine in Azure AI Vision and Document Intelligence—actually reads printed material and handwriting from photos, PDFs, and scanned documents, returning machine-readable text with coordinates and confidence scores. This enables searching, indexing, and processing of content that exists only as images. Both printed and handwritten text are supported, including mixed-language documents, fulfilling the correct definition.
- ✗
Recognises optical fibre cables in data centre photographs
Why it's wrong here
This option misinterprets 'optical' as relating to optical fibre cables. OCR—Optical Character Recognition—uses computer vision to locate text characters in images and scanned documents, not to recognise cabling, switches, or other infrastructure. A data centre photo might yield text from labels, but identifying optical cables would require a custom object-detection model, not OCR.
- ✗
Corrects spelling errors in text extracted from forms
Why it's wrong here
Spell checking is a linguistic post-processing step, often applying dictionaries and language models to the text already produced by an OCR engine. The core OCR service in Azure AI Vision extracts characters and words from images accurately; if the extraction is ambiguous, it may output the most probable characters, but it does not rewrite words to fix grammar or spelling. Correcting form text would therefore be downstream text cleanup, not the OCR capability itself.
Go deeper
Related to this question
Learn chapter
Machine Learning Core Concepts
Key term
Azure AI Vision
Azure AI Vision is a cloud-based service from Microsoft that uses pre-built machine learning models to extract information from images and videos, such as objects, text, faces, and scene descriptions.
Key term
OCR
Optical Character Recognition is technology that converts images of text, like scanned documents or photos, into machine-readable text data.
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Same concept, more angles
1 more way this is tested on AI-900
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. What is Optical Character Recognition (OCR) and which Azure AI service provides it?
medium- A.Speech recognition; provided by Azure AI Speech
- ✓ B.Technology that extracts text from images; provided by Azure AI Vision
- C.Language translation; provided by Azure AI Translator
- D.Handwriting analysis for personality assessment; provided by Azure AI Face
Why B: Optical Character Recognition (OCR) is the technology that extracts printed or handwritten text from images, such as scanned documents or photos, and converts it into machine-readable text. This capability is provided by the Azure AI Vision service, specifically through its Read API, which can process both printed and handwritten text from a variety of image formats.
JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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.