Spark's execution/deployment mode determines where the driver and executors are physically located when a Spark application is run. Which of the following Spark execution/deployment modes does not…

The correct answer is C. Standard mode. Apache Spark supports exactly three deployment/execution modes: (1) Local mode - runs the driver and executors on a single machine, useful for development and testing; (2) Client mode - the driver runs on the machine that submits the job while executors run on the cluster; (3)…

Spark Architecture and Deployment

Question

Spark's execution/deployment mode determines where the driver and executors are physically located when a Spark application is run. Which of the following Spark execution/deployment modes does not exist? If they all exist, please indicate so with Response E.

Options

AClient mode
BCluster mode
CStandard mode
DLocal mode
EAll of these execution/deployment modes exist

How the community answered

(23 responses)

B
9% (2)
C
87% (20)
E
4% (1)

Explanation

Apache Spark supports exactly three deployment/execution modes: (1) Local mode - runs the driver and executors on a single machine, useful for development and testing; (2) Client mode - the driver runs on the machine that submits the job while executors run on the cluster; (3) Cluster mode - both the driver and executors run on the cluster, so the submitting machine can disconnect after submission. 'Standard mode' is not a real Spark deployment mode and does not exist in the Spark ecosystem.

Topics

#Spark Deployment Modes#Spark Architecture#Execution Modes

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