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Amazon Exam MLS-C01 Topic 1 Question 75 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 75
Topic #: 1
[All MLS-C01 Questions]

A company wants to create an artificial intelligence (Al) yoga instructor that can lead large classes of students. The company needs to create a feature that can accurately count the number of students who are in a class. The company also needs a feature that can differentiate students who are performing a yoga stretch correctly from students who are performing a stretch incorrectly.

...etermine whether students are performing a stretch correctly, the solution needs to measure the location and angle of each student's arms and legs A data scientist must use Amazon SageMaker to ...ss video footage of a yoga class by extracting image frames and applying computer vision models.

Which combination of models will meet these requirements with the LEAST effort? (Select TWO.)

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Suggested Answer: C

Contribute your Thoughts:

Shay
4 hours ago
I agree with Brock, Pose estimation and Object Detection seem like the best options for accurately counting and differentiating students.
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Brock
2 days ago
I think we need Pose estimation and Object Detection for this task.
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Dahlia
4 days ago
Image Classification and Pose Estimation? That's a no-brainer. I can already see the yoga instructor AI in action, counting the students and giving them feedback on their poses. This is going to be a piece of cake!
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German
5 days ago
I'm not sure about Pose estimation, but I think Object Detection is definitely necessary for this AI yoga instructor.
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Ashleigh
6 days ago
I agree with Karina, those two models would be the most suitable for accurately counting and differentiating students.
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Karina
13 days ago
I think we need Pose estimation and Object Detection for this task.
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