PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #88
PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #88: Real Exam Question with Answer & Explanation
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Question
You need to execute a batch prediction on 100 million records in a BigQuery table with a custom TensorFlow DNN regressor model, and then store the predicted results in a BigQuery table. You want to minimize the effort required to build this inference pipeline. What should you do?
Options
- AImport the TensorFlow model with BigQuery ML, and run the ml.predict function.
- BUse the TensorFlow BigQuery reader to load the data, and use the BigQuery API to write the
- CCreate a Dataflow pipeline to convert the data in BigQuery to TFRecords. Run a batch inference
- DLoad the TensorFlow SavedModel in a Dataflow pipeline. Use the BigQuery I/O connector with a
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