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Answer Posted / Yesh Pal Singh
"RDDs (Resilient Distributed Datasets) in Apache Spark do not store data persistently unless explicitly told to do so. Persisting an RDD makes it available for future computations and reduces the amount of data that needs to be processed repeatedly. The persistence level can be controlled using methods like cache(), remember(), and checkpoint().".
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