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You have trained a machine learning model using data that was preprocessed in a batch Dataflow pipeline. Now, you need the model to provide real-time inference as part of a production system. To ensure accuracy and consistency in predictions, it's crucial that the data preprocessing logic used during training is applied consistently during serving as well. How can you best achieve this?