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