Amazon Exam MLS-C01 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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