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Following a recent company acquisition, you inherited an on-premises data infrastructure that needs to move...

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Following a recent company acquisition, you inherited an on-premises data infrastructure that needs to move to Google Cloud. The acquired system has 250 Apache Airflow directed acyclic graphs (DAGs) orchestrating data pipelines. You need to migrate the pipelines to a Google Cloud managed service with minimal effort. What should you do?

A.

Convert each DAG to a Cloud Workflow and automate the execution with Cloud Scheduler.

B.

Create a new Cloud Composer environment and copy DAGs to the Cloud Composer dags/ folder.

C.

Create a Google Kubernetes Engine (GKE) standard cluster and deploy Airflow as a workload. Migrate all DAGs to the new Airflow environment.

D.

Create a Cloud Data Fusion instance. For each DAG, create a Cloud Data Fusion pipeline.

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