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Google Cloud Certified Professional Data Engineer · Google Cloud
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Usually, None values are converted to 0 in data cleaning and preparation process. The key point here is, we don't require any other tool than DataPrep to identify and modify the value
Cloud Dataflow is ideal for scalable data processing and allows for real-time transformations. Logistic regression requires numerical (real-valued) inputs, and null values cannot remain as they are.
Option D: Using null value conversion to 0 is the most correct practice for this case. Accompanying it with a script allows us to implement the necessary logic to handle null cases properly, adapting to the model while maintaining data integrity.