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Answer Posted / Ayus Shankhdhar
Spark RDDs are immutable to ensure fault-tolerance, data consistency, and ease of parallel computation. An immutable RDD ensures that once a dataset is created, it cannot be modified; instead, new RDDs can be generated based on existing ones using various transformations.
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