Option A, 'Export the model to BigQuery ML,' is the correct answer. BigQuery ML allows you to import TensorFlow models and perform predictions directly within the BigQuery environment. This approach minimizes computational overhead as it leverages BigQuery's infrastructure for executing predictions, eliminating the need to move data between different services or manage additional compute resources. Deploying the model on AI Platform or using Dataflow introduces extra complexity and computational requirements, which are not necessary in this context.