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Google Professional Data Engineer

Google Professional Data Engineer

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As a cloud engineer responsible for managing a Cloud Dataproc cluster, you are tasked with optimizing the performance of a job. Your goal is to accelerate the job's execution while keeping costs low and ensuring that no work in progress is lost. What steps should you take to achieve this?

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Explanation:

The correct answer is D. Increasing the cluster size with preemptible worker nodes and configuring them to use graceful decommissioning is the most cost-effective way to make a job run faster without losing work in progress. Graceful decommissioning ensures that work in progress on the nodes is completed before they are removed, preventing data loss and ensuring efficiency.

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