I'm leaning towards B as well. Changing the Run Configuration seems like the most logical way to switch the execution environment from the default to Spark on Hadoop.
Okay, let's think this through step-by-step. The question says the customer wants to execute the transformation through Spark on their Hadoop cluster, so we need to find the option that would allow us to change the runtime environment.
Hmm, I'm not sure about this one. I'll need to review the options carefully to make sure I understand the difference between the parameters, run configuration, logging options, and arguments.
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