Answer Posted / Suhail Abbas
Speculative Execution in Spark is a feature that runs tasks multiple times to reduce the overall time taken by tasks. If a task fails, one of its speculative copies can complete and return a result, ensuring that there will be no delay in processing. This allows for faster recovery from failures and improves the overall performance of the application.
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