Amazon MLS-C01 Exam - Topic 2 Question 2 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 2
Topic #: 2

A Machine Learning Specialist was given a dataset consisting of unlabeled data The Specialist must create a model that can help the team classify the data into different buckets What model should be used to complete this work?

AK-means clustering

BRandom Cut Forest (RCF)

CXGBoost

DBlazingText

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Suggested Answer: A

by Glendora at May 06, 2022, 07:46 PM

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Stephaine

4 months ago

BlazingText? That seems off for this task.

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Doyle

4 months ago

Wait, can K-means really handle all types of data?

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Felix

4 months ago

XGBoost is more for supervised learning, right?

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Lucille

4 months ago

I think Random Cut Forest could work too.

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Dick

5 months ago

K-means clustering is great for unlabeled data!

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Rosalind

5 months ago

I've seen this type of question before. I think I know the right approach, but I'll double-check the details to make sure I don't miss anything.

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Julio

5 months ago

Hmm, I'm not totally sure about the difference between managing project execution and the other options. I'll have to think this through carefully.

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Rodney

5 months ago

I remember we practiced sending keystrokes in Blue Prism, but I'm a bit unsure if it's CTRL + C specifically for copying.

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