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Scenario: You have thousands of Apache Spark jobs running on an on-premises Apache Hadoop cluster. You want to migrate these jobs to Google Cloud. Your goal is to use managed services instead of maintaining a long-lived Hadoop cluster. You have a tight timeline and want to minimize code changes during the migration. Question: What should you do to migrate the Spark jobs efficiently and with minimal code changes?