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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #222
You need to develop a custom TensorFlow model that will be used for online predictions. The training data is stored in BigQuery You need to apply instance-level data transformations to the data for mo
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Submitted by the_admin· Apr 18, 2026ML pipeline operationalization
Question
You need to develop a custom TensorFlow model that will be used for online predictions. The training data is stored in BigQuery You need to apply instance-level data transformations to the data for model training and serving. You want to use the same preprocessing routine during model training and serving. How should you configure the preprocessing routine?
Options
- ACreate a BigQuery script to preprocess the data, and write the result to another BigQuery table.
- BCreate a pipeline in Vertex AI Pipelines to read the data from BigQuery and preprocess it using a
- CCreate a preprocessing function that reads and transforms the data from BigQuery. Create a
- DCreate an Apache Beam pipeline to read the data from BigQuery and preprocess it by using
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Topics
#Data Preprocessing#Training-Serving Consistency#Apache Beam#TensorFlow Data Transformation