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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #200

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #200: Real Exam Question with Answer & Explanation

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Submitted by kevin_r· Apr 18, 2026ML pipeline operationalization

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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Topics

#Vertex AI#Batch Prediction#BigQuery#ML Pipeline
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