Exam AI-102 topic 1 question 19 discussion

Actual exam question from Microsoft's AI-102

Question #: 19
Topic #: 1

HOTSPOT -
You are developing an internet-based training solution for remote learners.
Your company identifies that during the training, some learners leave their desk for long periods or become distracted.
You need to use a video and audio feed from each learner's computer to detect whether the learner is present and paying attention. The solution must minimize development effort and identify each learner.
Which Azure Cognitive Services service should you use for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
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Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/what-are-cognitive-services

by htolajide at Sept. 21, 2021, 4:31 p.m.

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htolajide

Highly Voted 3 years ago

The answer is correct

upvoted 27 times

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zellck

Highly Voted 1 year, 3 months ago

1. Face 2. Face 3. Speech https://learn.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-identity#face-detection-and-analysis Face detection is required as a first step in all the other scenarios. The Detect API detects human faces in an image and returns the rectangle coordinates of their locations. It also returns a unique ID that represents the stored face data. This is used in later operations to identify or verify faces. Optionally, face detection can extract a set of face-related attributes, such as head pose, age, emotion, facial hair, and glasses. These attributes are general predictions, not actual classifications. Some attributes are useful to ensure that your application is getting high-quality face data when users add themselves to a Face service. For example, your application could advise users to take off their sunglasses if they're wearing sunglasses.

upvoted 15 times

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syupwsh

Most Recent 2 months ago

From a learner’s video feed, verify whether the learner is present - Face is CORRECT because Azure AI Face API can be used to detect and recognize human faces in images and videos. It can determine if a person is present in the video feed and can also identify specific individuals if required. From a learner’s facial expression in the video feed, verify whether the learner is paying attention - Also Face From a learner’s audio feed, detect whether the learner is talking - Speech is CORRECT because the Azure AI Services Speech service can analyze audio feeds to detect and recognize spoken language. It can determine if the learner is talking by processing the audio input and transcribing spoken words.

upvoted 1 times

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