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: azure AI Vision's Read API is a primary OCR service.. 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 logistics company receives thousands of handwritten shipping labels each day. They want to use Azure AI to automatically read the handwritten addresses and convert them into digital text. Which Azure Cognitive Services capability should they use?
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 (OCR)
Optical character recognition (OCR) is the correct Azure Cognitive Services capability because it is specifically designed to extract printed or handwritten text from images and convert it into machine-readable digital text. In this scenario, the logistics company needs to read handwritten addresses from shipping labels, which is a classic OCR workload. Azure's Computer Vision OCR API (including the Read API) can handle both printed and handwritten text, making it the ideal choice for this task.
Key principle: Azure AI Vision's Read API is a primary OCR service.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
✗
Image classification
Why it's wrong here
Image classification assigns a label to the entire image (e.g., 'shipping label') but does not extract text.
✓
Optical character recognition (OCR)
Why this is correct
OCR extracts text from images, including handwritten content, and is ideal for this scenario.
Related concept
Azure AI Vision's Read API is a primary OCR service.
✗
Object detection
Why it's wrong here
Object detection identifies and locates objects (e.g., boxes, parcels) in an image, not text.
✗
Face detection
Why it's wrong here
Face detection finds human faces, not text.
Common exam traps
Common exam trap: answer the scenario, not the keyword
Microsoft often tests the distinction between OCR and image classification, where candidates mistakenly choose image classification because they think 'reading text' is a form of classifying the image content, but OCR is a specialized text extraction service, not a classification task.
Detailed technical explanation
How to think about this question
Azure's Computer Vision OCR service uses the Read API, which employs deep learning models trained on both printed and handwritten text. The API first detects text regions, then recognizes characters and words, returning results with bounding boxes and confidence scores. A subtle behavior is that the Read API is asynchronous for large documents, requiring a call to the GetReadResult endpoint to retrieve the final output, which is important for batch processing thousands of labels.
KKey Concepts to Remember
Azure AI Vision's Read API is a primary OCR service.
OCR can extract both printed and handwritten text from images.
It converts visual text into machine-readable digital text.
OCR handles various text orientations and complex layouts.
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
Azure AI Vision's Read API is a primary OCR service.
Real-world example
How this comes up in practice
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this AI-900 question in full detail.
Describe features of computer vision workloads on Azure — This question tests Describe features of computer vision workloads on Azure — Azure AI Vision's Read API is a primary OCR service..
What is the correct answer to this question?
The correct answer is: Optical character recognition (OCR) — Optical character recognition (OCR) is the correct Azure Cognitive Services capability because it is specifically designed to extract printed or handwritten text from images and convert it into machine-readable digital text. In this scenario, the logistics company needs to read handwritten addresses from shipping labels, which is a classic OCR workload. Azure's Computer Vision OCR API (including the Read API) can handle both printed and handwritten text, making it the ideal choice for this task.
What should I do if I get this AI-900 question wrong?
Review azure AI Vision's Read API is a primary OCR service., then practise related AI-900 questions on the same topic to reinforce the concept.
What is the key concept behind this question?
Azure AI Vision's Read API is a primary OCR service.
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