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Microsoft

AI-102 · Question #49

Drag and Drop Question You are developing a photo application that will find photos of a person based on a sample image by using the Face API. You need to create a POST request to find the photos…

The correct answer is findsimilars; matchPerson. The 'findsimilars' endpoint is correct because it searches a list of faces or a face list to find similar-looking faces based on a query face ID, which is exactly what's needed when finding photos of a person using a sample image. The 'matchPerson' mode is correct because it…

Submitted by fatema_kw· Mar 30, 2026Implement image analysis solutions using Azure Cognitive Services - specifically leveraging the Face API for person identification and facial recognition scenarios.

Question

Drag and Drop Question You are developing a photo application that will find photos of a person based on a sample image by using the Face API. You need to create a POST request to find the photos. How should you complete the request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content. NOTE: Each correct selection is worth one point. Answer:

Exhibit

AI-102 question #49 exhibit

Answer Area

Drag items

detectfindsimilarsgroupidentifymatchFacematchPersonverify

Correct arrangement

  • findsimilars
  • matchPerson

Explanation

The 'findsimilars' endpoint is correct because it searches a list of faces or a face list to find similar-looking faces based on a query face ID, which is exactly what's needed when finding photos of a person using a sample image. The 'matchPerson' mode is correct because it returns only faces that belong to the same person as the query face (using a trained person model), filtering results more strictly than 'matchFace' which simply finds visually similar faces regardless of whether they are the same person. Together, POST /face/v1.0/findsimilars with matchPerson mode enables identity-based photo retrieval rather than just visual similarity.

Topics

#Azure Face API#Cognitive Services#Computer Vision#AI-900/AI-102

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