You are developing an AI application for a virtual classroom. Your application must perform the following tasks: Capture audio and video data of the students in the virtual classroom. Identify each student in the virtual classroom for attendance purposes. Alert the teacher when a student's facial expression indicates the student having difficulty. Which two of the following actions should you take? Each correct selection is part of the solution. NOTE:…

QuestionsCategory: AI-100You are developing an AI application for a virtual classroom. Your application must perform the following tasks: Capture audio and video data of the students in the virtual classroom. Identify each student in the virtual classroom for attendance purposes. Alert the teacher when a student's facial expression indicates the student having difficulty. Which two of the following actions should you take? Each correct selection is part of the solution. NOTE:…
Admin Staff asked 2 months ago
You are developing an AI application for a virtual classroom.
Your application must perform the following tasks:
Capture audio and video data of the students in the virtual classroom.
Identify each student in the virtual classroom for attendance purposes.
Alert the teacher when a student's facial expression indicates the student having difficulty.
Which two of the following actions should you take? Each correct selection is part of the solution.
NOTE: Each correct selection is worth one point.

A. Make use of the Face API

B. Make use of the Computer Vision API

C. Make use of the QnA Maker

D. Make use of the Video Indexer API

E. Make use of the Custom Speech Service






 

Suggested Answer: AD

Azure Video Indexer is a cloud application built on Azure Media Analytics, Azure Search, Cognitive Services (such as the Face API, Microsoft Translator, the
Computer Vision API, and Custom Speech Service). It enables you to extract the insights from your videos using Video Indexer video and audio models.
Face API enables you to search, identify, and match faces in your private repository of up to 1 million people.
The Face API now integrates emotion recognition, returning the confidence across a set of emotions for each face in the image such as anger, contempt, disgust, fear, happiness, neutral, sadness, and surprise. These emotions are understood to be cross-culturally and universally communicated with particular facial expressions.
Reference:
https://docs.microsoft.com/en-us/azure/media-services/video-indexer/video-indexer-overview
 https://azure.microsoft.com/en-us/services/cognitive-services/face/

This question is in AI-100 Designing and Implementing an Azure AI Solution Exam
For getting Microsoft Certified: Azure AI Engineer Associate Certificate





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