AI-102 Implement computer vision solutions Practice Question
A company is building a computer vision solution using Azure AI Vision to analyze images of retail shelves. The solution must detect product presence and read expiration dates. Which TWO Azure AI Vision features should be used?
⚠ Common exam trap
Microsoft Azure often tests the distinction between object detection and image classification or captioning, where candidates mistakenly choose image captioning for product presence instead of object detection, which provides precise localization and identification.
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
✓
Object detection
Object detection (C) is correct because it identifies and locates specific products on retail shelves by drawing bounding boxes around detected items, which directly addresses the requirement to detect product presence. Optical Character Recognition (OCR) (D) is correct because it extracts printed or handwritten text from images, enabling the reading of expiration dates on product packaging. Together, these two features fulfill both core requirements of the solution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Face detection
Why it's wrong here
Detects faces, not products or text.
- ✗
Brand detection
Why it's wrong here
Detects brand logos, not general product presence or expiration dates.
- ✓
Object detection
Why this is correct
Detects products on shelves.
- ✓
Optical Character Recognition (OCR)
Why this is correct
Reads expiration dates.
- ✗
Image captioning
Why it's wrong here
Describes images, not product detection or text extraction.
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