Exam AI-100 topic 2 question 12 discussion

Actual exam question from Microsoft's AI-100

Question #: 12
Topic #: 2

You are designing an AI solution that will provide feedback to teachers who train students over the Internet. The students will be in classrooms located in remote areas. The solution will capture video and audio data of the students in the classrooms.
You need to recommend Azure Cognitive Services for the AI solution to meet the following requirements:
✑ Alert teachers if a student facial expression indicates the student is angry or scared.
✑ Identify each student in the classrooms for attendance purposes.
✑ Allow the teachers to log voice conversations as text.
Which Cognitive Services should you recommend?

A. Face API and Text Analytics
B. Computer Vision and Text Analytics
C. QnA Maker and Computer Vision
D. Speech to Text and Face API

Show Suggested Answer

Suggested Answer: D 🗳️
Speech-to-text from Azure Speech Services, also known as speech-to-text, enables real-time transcription of audio streams into text that your applications, tools, or devices can consume, display, and take action on as command input.
Face detection: Detect one or more human faces in an image and get back face rectangles for where in the image the faces are, along with face attributes which contain machine learning-based predictions of facial features. The face attribute features available are: Age, Emotion, Gender, Pose, Smile, and Facial Hair along with 27 landmarks for each face in the image.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/speech-to-text https://azure.microsoft.com/en-us/services/cognitive-services/face/

by SwatiMS at Dec. 12, 2019, 6:16 a.m.

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jkuz

Highly Voted 4 years, 11 months ago

Face API: "Detect, identify, and analyze faces in images and videos" Reference: https://azure.microsoft.com/en-us/services/cognitive-services/face/#demo So it seems ok

upvoted 6 times

Cornholioz

4 years, 3 months ago

Also this article shows the steps to analyze videos in real-time using the Face API. It does use steps to do it though such as to acquire frames from the video source etc. https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/howtoanalyzevideo_face Although much easier to use the Video Indexer, Face API and Speech-To-Text seem sufficient here. This appears in another question where Video Indexer is also an option along with the two APIs given here.

upvoted 2 times

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