Amazon MLS-C01 Exam - Topic 10 Question 39 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 39
Topic #: 10

A Machine Learning Specialist is applying a linear least squares regression model to a dataset with 1 000 records and 50 features Prior to training, the ML Specialist notices that two features are perfectly linearly dependent

Why could this be an issue for the linear least squares regression model?

AIt could cause the backpropagation algorithm to fail during training

BIt could create a singular matrix during optimization which fails to define a unique solution

CIt could modify the loss function during optimization causing it to fail during training

DIt could introduce non-linear dependencies within the data which could invalidate the linear assumptions of the model

Show Suggested Answer

Suggested Answer: C

by Allene at May 08, 2022, 08:33 AM

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Kassandra

4 months ago

Isn't that just a fancy way of saying it breaks the model?

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Staci

4 months ago

I think it could mess with the optimization process too.

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Elin

4 months ago

Wait, how does that even happen? Sounds weird.

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Elenor

4 months ago

Totally agree, it messes up the unique solution!

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Natalie

5 months ago

Perfectly dependent features can lead to a singular matrix.

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Janessa

5 months ago

Hmm, I'm not too sure about this one. I know Azure Blueprints can be used to define and deploy compliant resource configurations, but I'm not sure if that's the best fit for an existing environment. Maybe Microsoft Sentinel would be a better option to assess compliance?

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Roselle

5 months ago

I've got this! The ClickBeforeTyping property means that a click will happen before the typing occurs. The options are describing where that click will happen - at the current mouse position, the top left corner, or the center of the UI element. I'm going to go with option C, a click at the center of the UI element.

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Chantay

5 months ago

I'm leaning towards including more environments on the horizontal axis, but it might make the graph cluttered. I'm not entirely confident about that choice.

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