What is the significance of the term "cluster" in the context of Google Cloud Dataproc?
- A group of virtual machines configured to work together to process data in parallel.
- A collection of data storage nodes used for storing data persistently.
- A scheduling mechanism for orchestrating data processing workflows.
- An instance of a virtual machine running a specific data processing application.
Understanding the concept of clusters in Google Cloud Dataproc is essential for users to effectively manage and utilize the service for big data processing tasks. It involves provisioning, configuring, and scaling clusters to meet workload demands efficiently.
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