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. A key principle to apply: computer Vision includes OCR capabilities for text extraction.. 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 company needs to extract text from scanned invoices and receipts. Which Azure services are suitable for this task? (Choose two.)
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Computer Vision
Computer Vision (option A) is correct because it provides OCR capabilities to extract printed and handwritten text from images, including scanned invoices and receipts. Its Read API can process text from various surfaces and layouts, making it suitable for document digitization tasks.
Key principle: Computer Vision includes OCR capabilities for text extraction.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✓
Computer Vision
Why this is correct
Computer Vision includes an OCR capability that can detect and extract text from images and documents.
Related concept
Computer Vision includes OCR capabilities for text extraction.
✓
Azure AI Document Intelligence
Why this is correct
Azure AI Document Intelligence is designed to extract text and structured data from forms, invoices, and receipts using prebuilt models.
Related concept
Computer Vision includes OCR capabilities for text extraction.
✗
Azure AI Language
Why it's wrong here
Azure AI Language is a natural language processing service that analyzes text but does not perform optical character recognition (OCR).
✗
Custom Vision
Why it's wrong here
Custom Vision is used for training custom image classification and object detection models, not for text extraction.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure AI Language (a text analytics service) with OCR capabilities, or think Custom Vision can extract text, when in fact it only classifies or detects objects in images.
Detailed technical explanation
How to think about this question
Computer Vision's Read API uses a deep-learning-based OCR engine that can handle mixed languages, handwritten text, and complex layouts. It returns results as bounding boxes and recognized text lines, which can be further processed by Azure AI Document Intelligence for structured extraction like key-value pairs and tables. In a real-world scenario, combining Computer Vision for initial text extraction with Document Intelligence for field-specific parsing optimizes accuracy for invoice processing.
KKey Concepts to Remember
Computer Vision includes OCR capabilities for text extraction.
The Read API in Computer Vision is optimized for document text extraction.
Computer Vision can extract both printed and handwritten text.
It supports various languages for OCR.
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
Computer Vision includes OCR capabilities for text extraction.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Review computer Vision includes OCR capabilities for text extraction., then practise related AI-900 questions on the same topic to reinforce the concept.
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — Computer Vision includes OCR capabilities for text extraction..
What is the correct answer to this question?
The correct answer is: Computer Vision — Computer Vision (option A) is correct because it provides OCR capabilities to extract printed and handwritten text from images, including scanned invoices and receipts. Its Read API can process text from various surfaces and layouts, making it suitable for document digitization tasks.
What should I do if I get this AI-900 question wrong?
Review computer Vision includes OCR capabilities for text extraction., then practise related AI-900 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Computer Vision includes OCR capabilities for text extraction.
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Question Discussion
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