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In a distributed data processing environment, data skew can significantly impact performance. Describe a scenario where you encounter data skew in a Spark job and outline the steps you would take to mitigate this issue. Include specific techniques or configurations you would apply to balance the data distribution across nodes.
A
Increase the number of partitions without changing the data distribution strategy.
B
Use Spark's adaptive query execution to dynamically adjust the data partitioning.
C
Ignore the skew as it is a natural part of data processing.
D
Manually redistribute the data before loading it into Spark.