Answer / Mukesh Chaurasia

There are multiple ways to create RDDs (Resilient Distributed Datasets) in Spark. Some common methods include:nt* parallelize(iterable): Creates an RDD from a local iterable collection.nt* textFile(path): Reads text files and converts them into an RDD of lines.nt* wholeTextFiles(path): Reads text files as key-value pairs, where keys are file paths and values are the content of the files.n

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