A newly hired data engineer asks how work is divided when a PySpark notebook runs on a multi-node cluster: where the notebook's code and the Spark session live, and where the actual parallel processing of data happens. Which answer is correct?
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Correct answer: The driver node hosts the Spark session and coordinates tasks, while executors run the tasks that process data in parallel
Reference: https://docs.databricks.com/aws/en/compute
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02 — The Myelin Layer · Canonical Discussion
Where the exam tries to trick you — and how those who passed solved it.
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Official Answer (D): The driver node hosts the Spark session and coordinates tasks, while executors run the tasks that process data in parallel
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