I remember we did a similar question where we used flatMap and reduceByKey. I feel like option A might be incorrect because it uses reduce instead of reduceByKey.
I'm not entirely sure about this one. I'll need to think it through step-by-step to make sure I'm understanding the logic correctly. Maybe I'll jot down some notes before selecting an answer.
This seems straightforward. Option C is the clear winner - it's splitting the lines, mapping each word to a (word, 1) pair, and then reducing by key to get the final word counts.
I'm a bit confused by the syntax here. I'll need to review my notes on Spark streaming to make sure I understand how to properly use the flatMap, map, and reduceByKey functions.
Arlie
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