Answer Posted / Shashank Srivastava
"Executor Memory refers to the amount of memory allocated to each worker node (also called an Executor) in a Spark cluster. It determines how much memory is available for each task to run within the Worker nodes, and plays a significant role in determining the performance of Spark applications.".
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