Google Cloud Professional Data Engineer PDE — Topic 1 Question 65

Question

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?

Accepted Answer

Correct answer: B. The correct answer is B. Option B: Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job. Dataprep visually explores, cleans, and prepares data for analysis with no code.

Google Cloud Professional Data Engineer PDE — Question 65