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You are a SQL analyst and need to use a TensorFlow customer segmentation model stored in Cloud Storage. You want to use the simplest and most efficient approach. What should you do?
A
Import the model into Vertex AI Model Registry. Deploy the model to a Vertex AI endpoint, and use SQL for inference in BigQuery.
B
Deploy the model by using TensorFlow Serving, and call for inference from BigQuery.
C
Convert the model into a BigQuery ML model, and use SQL for inference.
D
Import the model into BigQuery, and use SQL for inference.
