COMPUTER SCIENCE AND ENGINEERING
CLOUD COMPUTING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Reduce
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Map
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Reducer
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All the answer are correct
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Detailed explanation-1: -Explanation: The reduce is the type of function which are responsible for consolidate the overall result that are technically produced by the map() function in the system. As, the reduce function basically combine the overall work and then resolve into the final output or result.
Detailed explanation-2: -Reduce() The next part / component / stage of the MapReduce programming model is the Reduce() function. This part of the MapReduce is responsible for consolidating the results produced by each of the Map() functions/tasks.
Detailed explanation-3: -function is responsible for consolidating the results produced by each of the Map() functions/tasks. Explanation: Reduce function collates the work and resolves the results.
Detailed explanation-4: -The partitioner is responsible for processing the map output. Once MapReduce splits the data into chunks and assigns them to map tasks, the framework partitions the key-value data. This process takes place before the final mapper task output is produced. MapReduce partitions and sorts the output based on the key.
Detailed explanation-5: -Map Task is the part of the “MapReduce” which is responsible for “processing one or more chunks” of data and producing the output results.