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Map/Reduce Library partitions the input data into M pieces of typically 16-64 MB.
True.
If there are M partitions of the input, there are M map workers running simultaneously.
False. There are generally less worker nodes than partitions.
Reduce function accepts intermediate key and a set of values for that key and merges together these values to form possibly a smaller set of values.
Map and Reduce are user defined functions
MapReduce is a restricted programming model?
True. Learn more https://onlineitguru.com/data-science-online-training-placement.html
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MapReduce - 3
You are viewing a single comment's thread. Return to all comments →
Map/Reduce Library partitions the input data into M pieces of typically 16-64 MB.
True.
If there are M partitions of the input, there are M map workers running simultaneously.
False. There are generally less worker nodes than partitions.
Reduce function accepts intermediate key and a set of values for that key and merges together these values to form possibly a smaller set of values.
True.
Map and Reduce are user defined functions
True.
MapReduce is a restricted programming model?
True. Learn more https://onlineitguru.com/data-science-online-training-placement.html