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Google Professional Data Engineer

Google Professional Data Engineer

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In the context of a hybrid cloud initiative involving complex data pipelines across various cloud services, which cloud-native service is best suited for orchestrating the entire pipeline?

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Explanation:

The correct answer is B. Cloud Composer. Cloud Composer is a cloud-native service designed for workflow orchestration, making it ideal for managing data pipelines in a hybrid cloud environment. It leverages Apache Airflow to create, schedule, and monitor workflows across multiple cloud services and on-premises systems, ensuring seamless integration with Google Cloud and third-party tools.

  • A. Cloud Dataproc: While excellent for running Apache Spark and Hadoop clusters for big data analytics, it's not tailored for workflow orchestration.
  • C. Cloud Dataflow: A fully managed service for processing streaming and batch data, but it lacks the comprehensive orchestration capabilities of Cloud Composer.
  • D. Cloud Dataprep: Focuses on data preparation and cleaning, not on orchestrating data pipelines.
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