You have a complex cross-cloud data pipeline that uses services from multiple cloud providers. Which cloud-native service should you use to orchestrate the entire pipeline?
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Correct answer: Cloud Composer.
Why this is the answer
Cloud Composer is the correct choice because it is a fully managed workflow orchestration service built on Apache Airflow. Airflow is highly extensible and can orchestrate workflows across various cloud providers and on-premises systems, making it ideal for complex, cross-cloud pipelines. Cloud Dataflow is a unified stream and batch data processing service, not an orchestrator. Cloud Dataprep is a data preparation service for visual exploration, cleaning, and preparing data. Cloud Dataproc is a managed service for running Apache Spark and Apache Hadoop clusters, primarily for big data processing, not orchestration.
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