You need to migrate Hadoop jobs for your company's Data Science team without modifying the underlying infrastructure. You want to minimize costs and infrastructure management effort. What should you do?

Creating a Dataproc cluster with preemptible worker instances is the most cost-effective and low-management solution. Dataproc is a fully managed service for Apache Hadoop and Spark, eliminating the need for manual infrastructure setup and management. Preemptible instances are significantly cheaper than standard instances and are suitable for fault-tolerant workloads like Hadoop jobs, which can restart tasks if an instance is preempted. Using standard worker instances in Dataproc would be more expensive without offering significant benefits for this use case. Manually deploying a Hadoop cluster on Compute Engine, whether with standard or preemptible instances, would require substantial effort for setup, configuration, and ongoing management, directly contradicting the goal of minimizing infrastructure management.