Cloudera
CCD-333 · Question #27
In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?
The correct answer is A. Because combiners perform local aggregation of word counts, thereby allowing the mappers. See the full explanation below for the reasoning.
Question
In the standard word count MapReduce algorithm, why might using a combiner reduce the overall Job running time?
Options
- ABecause combiners perform local aggregation of word counts, thereby allowing the mappers
- BBecause combiners perform local aggregation of word counts, thereby reducing the number
- CBecause combiners perform local aggregation of word counts, and then transfer that data to
- DBecause combiners perform local aggregation of word counts, thereby reducing the number
How the community answered
(49 responses)- A73% (36)
- B4% (2)
- C14% (7)
- D8% (4)
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