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Amazon Exam MLS-C01 Topic 1 Question 72 Discussion

Actual exam question for Amazon's MLS-C01 exam
Question #: 72
Topic #: 1
[All MLS-C01 Questions]

A university wants to develop a targeted recruitment strategy to increase new student enrollment. A data scientist gathers information about the academic performance history of students. The data scientist wants to use the data to build student profiles. The university will use the profiles to direct resources to recruit students who are likely to enroll in the university.

Which combination of steps should the data scientist take to predict whether a particular student applicant is likely to enroll in the university? (Select TWO)

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Contribute your Thoughts:

Brigette
6 days ago
I don't know, guys. Using a forecasting algorithm to predict enrollment seems a bit overkill. Why not just use a good old-fashioned classification algorithm and call it a day?
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Annice
12 days ago
Haha, I can just imagine the data scientist using Amazon SageMaker Ground Truth to manually label each student as 'enrolled' or 'not enrolled'. Talk about a labor-intensive approach!
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Junita
3 days ago
A: I think they should use a classification algorithm to predict enrollment.
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Hollis
17 days ago
I'm not so sure about that. Shouldn't we be using something like k-means clustering to group the students first before running any predictions? That could give us better insights into the key characteristics of the 'enrolled' and 'not enrolled' groups.
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Johna
4 days ago
A: I think you're right. Using k-means clustering could help us identify important characteristics of the 'enrolled' and 'not enrolled' groups.
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Mel
24 days ago
I think options C and D are the way to go. Using a regression algorithm to predict enrollment probability and a classification algorithm to directly classify students as 'enrolled' or 'not enrolled' seems like the most logical approach.
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Merilyn
26 days ago
I'm not sure. Maybe we should also consider using Amazon SageMaker Ground Truth to sort the data first.
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Tandra
1 months ago
I agree with Eden. Using a classification algorithm would be the best approach.
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Eden
1 months ago
I think we should use a classification algorithm to predict enrollment.
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