Amazon Exam MLS-C01 Topic 1 Question 72 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 72
Topic #: 1

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)

AUse Amazon SageMaker Ground Truth to sort the data into two groups named 'enrolled' or 'not enrolled.'

BUse a forecasting algorithm to run predictions.

CUse a regression algorithm to run predictions.

DUse a classification algorithm to run predictions

EUse the built-in Amazon SageMaker k-means algorithm to cluster the data into two groups named 'enrolled' or 'not enrolled.'

Show Suggested Answer

Suggested Answer: B, D

https://www.redhat.com/en/topics/devops/what-is-blue-green-deployment

by Bobbye at Mar 25, 2023, 04:10 PM

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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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1 months ago

I think we should use a classification algorithm to predict enrollment.

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