Answer Posted / Alok Kumar Srivastav
Checkpoints in Apache Spark are used to periodically save the state of a computation, ensuring that if a failure occurs, the application can be recovered from the last saved state. This helps improve fault tolerance and speed up recovery time by reducing the amount of work that needs to be recomputed after a failure.
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