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You are developing a custom TensorFlow model intended for online predictions. The training data resides in BigQuery, and you need to apply instance-level data transformations to this data for both model training and serving. Consistency is key, so you want to utilize the same preprocessing routine during both phases. How should you configure the preprocessing routine to achieve this consistency?