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PROFESSIONAL-DATA-ENGINEER · Question #216

PROFESSIONAL-DATA-ENGINEER Question #216: Real Exam Question with Answer & Explanation

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Submitted by naveen.iyer· Mar 30, 2026Operationalizing machine learning models

Question

A data scientist has created a BigQuery ML model and asks you to create an ML pipeline to serve predictions. You have a REST API application with the requirement to serve predictions for an individual user ID with latency under 100 milliseconds. You use the following query to generate predictions: SELECT predicted_label, user_id FROM ML.PREDICT (MODEL `dataset.model', table . How should you create the ML pipeline? user_features)

Options

  • AAdd a WHERE clause to the query, and grant the BigQuery Data Viewer role to the application service account.
  • BCreate an Authorized View with the provided query.
  • CCreate a Cloud Dataflow pipeline using BigQueryIO to read results from the query.
  • DCreate a Cloud Dataflow pipeline using BigQueryIO to read predictions for all users from the query.

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Topics

#BigQuery ML#ML Prediction Serving#Cloud Dataflow#Low Latency Serving
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