Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?

Which is a preferred approach for simplifying the data transformation steps in machine learning model management and maintenance?
A . Implement data transformation, feature extraction, feature engineering, and imputation algorithms in one single pipeline.
B . Do not apply any data transformation or feature extraction or feature engineering steps.
C . Leverage only deep learning algorithms.
D . Apply a limited number of data transformation steps from a pre-defined catalog of possible operations independent of the machine learning use case.

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Answer: B