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What are all of the BigQuery operations that Google charges for?
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Question 27 - Professional Data Engineer discussion

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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.
Eliminate features that are highly correlated to the output labels.
Answers
A.
Eliminate features that are highly correlated to the output labels.
B.
Combine highly co-dependent features into one representative feature.
Answers
B.
Combine highly co-dependent features into one representative feature.
C.
Instead of feeding in each feature individually, average their values in batches of 3.
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C.
Instead of feeding in each feature individually, average their values in batches of 3.
D.
Remove the features that have null values for more than 50% of the training records.
Answers
D.
Remove the features that have null values for more than 50% of the training records.
Suggested answer: B
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asked 18/09/2024
Asad yaseen
40 questions
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