Apache Spark Certification Practice Test

In a Spark cluster, the components that are typically found on the same device are the Cluster Manager and the Spark Master. The Spark Master is responsible for managing the resources in the cluster, overseeing the allocation of executors to the various applications, and maintaining the overall status of the cluster. The Cluster Manager, on the other hand, is tasked with resource management and can be implemented using multiple tools like Standalone, YARN, or Mesos.

Having the Cluster Manager and Spark Master on the same device simplifies the deployment and management of the cluster. It allows for streamlined communication and resource allocation, which can enhance performance and efficiency by reducing the latency associated with inter-device communication.

The other options do not typically imply that the components reside on the same device. For instance, while Drivers and Executors can be in different locations, Client and Server are more about the application architecture rather than specific Spark roles. Workers handle processing tasks and communicate with the Scheduler, but they do not always share the same device, especially in larger distributed systems.