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Question 2

Which of the following describes the relationship between nodes and executors?

    Correct Answer: C

    An executor is a processing engine running on a node. Executors are worker processes that run on the nodes of a cluster and are responsible for executing tasks assigned by the driver program. They handle data processing and execute the operations required for a Spark application. Hence, the correct relationship is that executors run on nodes.

Discussion
TC007Option: C

In a Spark cluster, each node typically has multiple executors, which are responsible for executing tasks on that node. An executor is a separate process that runs on a node and is responsible for executing tasks assigned to it by the driver. Therefore, a node can have multiple executors running on it. The number of executors on a node depends on the resources available on that node and the configuration settings of the Spark application. So, option C is the correct answer.

oda_rasheed_bashaOption: C

A) is C. nodes are the physical machines in the Spark cluster, while executors are the worker processes running on these nodes, responsible for executing tasks and processing data as part of a Spark application.

amirshazOption: C

C is correct

evertonllinsOption: C

The correct answer is C. The executor runs in a node.

SnDataOption: C

Executor is a process inside a node. Hence answer is C

AnweeeOption: C

this is so wrong, it is option C

AnweeeOption: C

It is C, this solution is so wrong. Executors are the processes running on the Nodes/Workers/Machines.

mehroosaliOption: C

C is correct.

GeorgiTOption: C

The correct answer is C. The other (currently selected as correct )answer D is also wrong the total number of nodes is always larger than the executor nodes by 1 sins we need one of the Cluster nodes to run the Driver.

astone42Option: C

It's C

Dgohel

Which one to accept as an answer community answer or a Suggested answer from exam topics? Are the examtopics answers trustworthy?

singh100Option: C

C. Spark executors run on worker nodes and are responsible for executing tasks and storing intermediate data during data processing. The nodes represent the physical machines that provide computing resources to run the Spark application.

Sandy544Option: C

An executor is a process that is launched for a Spark application on a worker node.

TmDataOption: C

The correct answer is C. An executor is a processing engine running on a node. Explanation: In Apache Spark, a node refers to a physical or virtual machine in a cluster that is part of the Spark cluster. Each node can have one or more executors running on it. An executor is a Spark component responsible for executing tasks and storing data in memory or on disk. It is a worker process that runs on a node and performs the actual computation and data processing tasks assigned to it by the driver program. Executors are created and managed by the cluster manager, and they are responsible for executing the tasks and managing the data partitions assigned to them.