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PROFESSIONAL-MACHINE-LEARNING-ENGINEER · Question #292

PROFESSIONAL-MACHINE-LEARNING-ENGINEER Question #292: Real Exam Question with Answer & Explanation

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Submitted by ashley.k· Apr 18, 2026Data processing and feature engineering

Question

You work at a large organization that recently decided to move their ML and data workloads to Google Cloud. The data engineering team has exported the structured data to a Cloud Storage bucket in Avro format. You need to propose a workflow that performs analytics, creates features, and hosts the features that your ML models use for online prediction. How should you configure the pipeline?

Options

  • AIngest the Avro files into Cloud Spanner to perform analytics. Use a Dataflow pipeline to create
  • BIngest the Avro files into BigQuery to perform analytics. Use a Dataflow pipeline to create the
  • CIngest the Avro files into Cloud Spanner to perform analytics. Use a Dataflow pipeline to create
  • DIngest the Avro files into BigQuery to perform analytics. Use BigQuery SQL to create features and

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Topics

#Google Cloud Services#Data Ingestion#Feature Engineering#Online Feature Serving
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