
Ultimate access to all questions.
You are constructing a data pipeline on Google Cloud with the goal of preparing data for a machine-learning process. Your task is to support a logistic regression model. Additionally, you need to monitor and handle null values in the dataset, ensuring that these values remain real-valued and are not removed. What steps should you take to achieve this?
A
Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataproc job.
B
Use Cloud Dataprep to find null values in sample source data. Convert all nulls to 0 using a Cloud Dataprep job.
C
Use Cloud Dataflow to find null values in sample source data. Convert all nulls to 'none' using a Cloud Dataprep job.
D
Use Cloud Dataflow to find null values in sample source data. Convert all nulls to 0 using a custom script.