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Question: How does Spark handle data skewness in transformations like groupByKey?
Answer: Data skewness occurs when certain keys have significantly more data than others. Spark handles it by using techniques like data pre-partitioning or using advanced algorithms like map-side aggregation.

Example:

val skewedData = inputRDD.groupByKey(numPartitions)
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