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Question Completion Status: beer = 'Budweiser', total score = 2 5 beer = 'Heineken', total score = 1 2 ( Multiple Choice with Negative Scores

Question Completion Status:
beer='Budweiser', total score =25
beer='Heineken', total score =12
(Multiple Choice with Negative Scores for wrong Answers)
A. df.drop('drinker').groupByKey('beer').reduceByKey(add).collect()
B. df.drop('drinker').groupBy('beer').agg({'score': 'sum'}).collect()
C. df.drop('drinker').groupByKey('beer').map(lambda a, b: a+b).top()
D. df.filter('drinker').groupBy('beer').agg({'score': 'sum'}).collect()
E. df.filter('drinker').groupByKey('beer').reduceByKey(add).collect()
F. sqIContext.sqI("SELECT beer, sum(score) from drinkers GROUP BY drinker").collect()
G. df.filter('drinker').groupByKey('beer').agg({'score': 'sum'}).collect()
H. df.drop('drinker').groupByKey('beer').map(lambda a, b: a+b).collect()
I. sqIContext.sql("SELECT beer, sum(score) from drinkers GROUP BY beer").collect()
|. df.drop('drinker').groupBy('beer').map({'score': 'sum'}).collect()
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