Migrate thousands of Apache Spark jobs from an on-premises Apache Hadoop cluster to Google Cloud, minimizing code changes and using managed services.
The suggested answer is D: Move data to Cloud Storage and run jobs on Dataproc.
You have thousands of Apache Spark jobs running in your on-premises Apache Hadoop cluster. You want to migrate the jobs to Google Cloud. You want to use managed services to run your jobs instead of maintaining a long-lived Hadoop cluster yourself. You have a tight timeline and want to keep code changes to a minimum. What should you do?
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