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Question

In the context of MapReduce, what is meant by "embarrassingly parallel problems"?

a.

Problems that are extremely challenging and require advanced algorithms

b.

Problems with dependencies or communication requirements

c.

Problems that can be easily parallelized and show linear speedup

d.

Problems that are too simple to be solved using MapReduce

Posted under Big Data Computing

Answer: (c).Problems that can be easily parallelized and show linear speedup Explanation:"Embarrassingly parallel problems" in the context of MapReduce refer to problems that can be easily parallelized and show linear speedup when parallelized.

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Q. In the context of MapReduce, what is meant by "embarrassingly parallel problems"?

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