Drag and Drop Question You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images. How…

Submitted by khalil_dz· Mar 30, 2026Implement image and video processing solutions using Azure AI Vision / Face API - specifically selecting appropriate data structures and matching modes for face similarity search at scale

Question

Drag and Drop Question You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images. How should you complete the body of the HTTP 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

Options

Box 1largeFaceListId
Box 2matchFace

Explanation

The correct answers are 'largeFaceListId' and 'matchFace'. A largeFaceListId is required because the employeefaces list contains 60,000 images - the LargeFaceList supports up to 1,000,000 faces, whereas a regular FaceList only supports up to 1,000 faces. The 'matchFace' mode is used when finding similar faces from a pre-existing list, as opposed to 'matchPerson' which applies stricter same-person thresholds.

Topics

#Azure Face API#Cognitive Services#Computer Vision#LargeFaceList

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