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After training a text classification model in TensorFlow using AI Platform, you need to perform batch predictions on a large dataset of text data that is stored in BigQuery. Your goal is to minimize computational overhead during this process. What is the most efficient approach?
A
Export the model to BigQuery ML.
B
Deploy and version the model on AI Platform.
C
Use Dataflow with the SavedModel to read the data from BigQuery.
D
Submit a batch prediction job on AI Platform that points to the model location in Cloud Storage.