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Your company anticipates a significant increase in the volume and complexity of Apache Spark and Hadoop jobs being executed in your on-premises datacenter. To handle this surge in demand, you want to leverage a cloud solution that allows you to scale efficiently with minimal operational overhead and code modifications. Which Google Cloud product should you select to achieve this?
Your company anticipates a significant increase in the volume and complexity of Apache Spark and Hadoop jobs being executed in your on-premises datacenter. To handle this surge in demand, you want to leverage a cloud solution that allows you to scale efficiently with minimal operational overhead and code modifications. Which Google Cloud product should you select to achieve this?
Explanation:
The correct answer is B. Google Cloud Dataproc. Google Cloud Dataproc is a fully managed service specifically designed for running Apache Spark and Hadoop. It helps reduce operational overhead and supports rapid cluster provisioning, which allows businesses to scale their data processing needs with ease. Additionally, Dataproc is integrated with other Google Cloud services, such as Google Cloud Storage and Stackdriver Logging, which helps streamline operations and minimize code changes.