Explanation:
The Spark driver is the central coordinator of a Spark application. It runs the user's main function, creates the SparkContext, and manages task scheduling and execution across the cluster. Option D accurately describes the Spark driver as the program space in which the Spark application’s main method runs, coordinating the entire application. Options A, B, C, and E are incorrect because they either misrepresent the driver's role, its fault tolerance, its place in the execution hierarchy, or its scalability.
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Which of the following options correctly describes the Spark driver in Apache Spark?
A
The Spark driver is responsible for performing all execution in all execution modes – it is the entire Spark application.
B
The Spare driver is fault tolerant – if it fails, it will recover the entire Spark application.
C
The Spark driver is the coarsest level of the Spark execution hierarchy – it is synonymous with the Spark application.
D
The Spark driver is the program space in which the Spark application’s main method runs coordinating the Spark entire application.
E
The Spark driver is horizontally scaled to increase overall processing throughput of a Spark application.
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