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In a distributed computing environment, describe the challenges you might face when splitting a large dataset using Spark ML and how you would address these challenges to ensure an effective and representative split. Discuss the considerations for data locality, network bandwidth, and computational resources.
A
Ignore data locality and rely solely on random splits.
B
Consider data locality to minimize network traffic and use local computations.
C
Split data without considering computational resources.
D
Use only a subset of the data for splitting to reduce network bandwidth.