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GCP Professional Data Engineer Practice Question

Your company is migrating its multi-cloud marketing analytics workflows to Google Cloud. At present, nightly ETL jobs are orchestrated by an on-premises Apache Airflow deployment that triggers Spark transformations on AWS EMR and stages the results in Amazon S3. Architects want to move only the orchestration layer to Google Cloud but keep using the same Airflow DAGs to avoid rewriting code and to prevent vendor lock-in. Built-in scheduling, retries, and Python operator support are mandatory. Which Google Cloud service best satisfies these requirements?

  • Workflows

  • Cloud Scheduler

  • Cloud Data Fusion

  • Cloud Composer

GCP Professional Data Engineer
Designing data processing systems
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