Amazon Exam MLS-C01 Topic 1 Question 4 Discussion

Actual exam question for Amazon's MLS-C01 exam

Question #: 4
Topic #: 1

A Machine Learning Specialist is building a model to predict future employment rates based on a wide range of economic factors While exploring the data, the Specialist notices that the magnitude of the input features vary greatly The Specialist does not want variables with a larger magnitude to dominate the model

What should the Specialist do to prepare the data for model training'?

AApply quantile binning to group the data into categorical bins to keep any relationships in the data by replacing the magnitude with distribution

BApply the Cartesian product transformation to create new combinations of fields that are independent of the magnitude

CApply normalization to ensure each field will have a mean of 0 and a variance of 1 to remove any significant magnitude

DApply the orthogonal sparse Diagram (OSB) transformation to apply a fixed-size sliding window to generate new features of a similar magnitude.

Show Suggested Answer

Suggested Answer: C

https://docs.aws.amazon.com/machine-learning/latest/dg/data-transformations-reference.html

by Viola at May 03, 2022, 06:16 PM

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