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Answer Posted / Satya Swarup Anand
RDD (Resilient Distributed Datasets) can be created in Spark using several methods. Some common ways to create RDDs include loading data from an external storage system like HDFS or local file systems, creating RDDs from another RDD using transformations such as map, filter, and union, or using Spark Shell's built-in functions like textFile.
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