Question 89 of 307
Single answerYou are building a data pipeline on Google Cloud. You need to prepare data using a casual method for a machine-learning process. You want to support a logistic regression model. You also need to monitor and adjust for null values, which must remain real-valued and cannot be removed. What should you do?
AUse Cloud Dataprep to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataproc job.
✓BUse Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.
CUse Cloud Dataflow to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataprep job.
DUse Cloud Dataflow to find null values in sample source data. Convert all nulls to 0 using a custom script.
✓
Correct Answer: B
Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.
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Explanation
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