AI-102 Implement computer vision solutions Practice Question
Your application needs to determine whether two photos of the same person are of the same individual, even if they are from different angles. Which Azure AI service should you use?
⚠ Common exam trap
Test-takers frequently confuse the generic 'detect faces in video' capability of Video Indexer with the dedicated face verification API of the Face service, or assume Custom Vision can be trained for face matching without realizing it lacks built-in pose-invariant comparison.
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 Face
Azure AI Face provides face verification APIs that compare two faces and return a confidence score indicating whether they belong to the same person. It uses deep learning models trained to handle variations in pose, lighting, and expression, making it ideal for matching photos of the same individual from different angles.
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 Video Indexer
Why it's wrong here
Video Indexer is for video analysis, not direct face comparison.
- ✗
Azure AI Custom Vision
Why it's wrong here
Custom Vision is for custom classification; not optimized for face verification.
- ✗
Azure AI Vision OCR
Why it's wrong here
OCR extracts text, not face comparison.
- ✓
Azure AI Face
Why this is correct
Face verification is designed for this purpose.
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