An organization's analysts use Spark Shell. However, their IT department is concerned about the increase in usage and how to scale their cluster, which is running in Standalone mode. How does Cloud Dataproc help?
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Correct answer: Cloud Dataproc supports Spark and can create clusters that scale for speed and mitigate any single point of failure..
Why this is the answer
Dataproc supports familiar open source tools such as Apache Spark , Hadoop, Hive, and Pig on managed clusters. It can create clusters quickly and scale worker resources to match processing demand. Autoscaling policies help add or remove workers based on workload needs, improving speed and resource efficiency. High availability cluster options help reduce single points of failure for critical Spark and Hadoop services.
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