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Google.professional-data-engineer.v2018-11-12.q29
Question 27

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Question 27/29

You are building a model to predict whether or not it will rain on a given day. You have thousands of input features and want to see if you can improve training speed by removing some features while having a minimum effect on model accuracy. What can you do?

A. Instead of feeding in each feature individually, average their values in batches of 3.

B. Combine highly co-dependent features into one representative feature.

C. Eliminate features that are highly correlated to the output labels.

D. Remove the features that have null values for more than 50% of the training records.

Correct Answer: B

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