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 extracts insights such as speakers, transcripts and faces from video and audio content; it does not compare two still photographs for identity. It is tempting because it analyses faces, but the scenario involves static images, which the Face service's verification operation handles.
- ✗
Azure AI Custom Vision
Why it's wrong here
Custom Vision trains image classification and object detection models on your labelled images; it has no face-verification capability. It is tempting because it processes photos, but confirming two images show the same individual across angles requires the Face service's verification feature.
- ✗
Azure AI Vision OCR
Why it's wrong here
Azure AI Vision OCR reads printed or handwritten text within images; it extracts characters, not facial identity. It is tempting because it is part of Azure AI Vision and processes photographs, but the requirement is comparing two faces for the same person, which the Face service performs.
- ✓
Azure AI Face
Why this is correct
Azure AI Face provides face verification and identification, comparing facial features across images to determine whether two photos show the same individual. Its detection and matching models tolerate pose and angle variation, satisfying the stem's requirement to compare photos taken from different angles.
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