PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #200
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #200: Real Exam Question with Answer & Explanation
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Question
You are implementing a batch inference ML pipeline in Google Cloud. The model was developed using TensorFlow and is stored in SavedModel format in Cloud Storage. You need to apply the model to a historical dataset containing 10 TB of data that is stored in a BigQuery table. How should you perform the inference?
Options
- AExport the historical data to Cloud Storage in Avro format. Configure a Vertex AI batch prediction
- BImport the TensorFlow model by using the CREATE MODEL statement in BigQuery ML. Apply
- CExport the historical data to Cloud Storage in CSV format. Configure a Vertex AI batch prediction
- DConfigure a Vertex AI batch prediction job to apply the model to the historical data in BigQuery
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