Google Exam Professional Data Engineer Topic 3 Question 83 Discussion

Actual exam question for Google's Professional Data Engineer exam

Question #: 83
Topic #: 3

You 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 using a custom script.

Show Suggested Answer

Suggested Answer: C

by Benton at May 12, 2024, 01:23 PM

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