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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #221
You have trained a model by using data that was preprocessed in a batch Dataflow pipeline. Your use case requires real-time inference. You want to ensure that the data preprocessing logic is applied c
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Submitted by satoshi_tk· Apr 18, 2026ML pipeline operationalization
Question
You have trained a model by using data that was preprocessed in a batch Dataflow pipeline. Your use case requires real-time inference. You want to ensure that the data preprocessing logic is applied consistently between training and serving. What should you do?
Options
- APerform data validation to ensure that the input data to the pipeline is the same format as the
- BRefactor the transformation code in the batch data pipeline so that it can be used outside of the
- CRefactor the transformation code in the batch data pipeline so that it can be used outside of the
- DBatch the real-time requests by using a time window and then use the Dataflow pipeline to
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Topics
#Training-serving skew#Feature consistency#Real-time inference#Data preprocessing