Hadoop MapReduce Interview Questions and Answers

Hadoop MapReduce Interview Questions and Answers

Top Hadoop MapReduce Interview Questions and Answers: Below, we have covered detailed answers to the Hadoop MapReduce Interview Questions Which will be helpful to freshers and experienced Professionals. All the best for your interview Preparation.

 

What is Hadoop Mapreduce?

What are ‘maps’ and ‘reduces’?

How Hadoop MapReduce works?

What is shuffling in MapReduce?

Explain about the partitioning, shuffle and sort phase

What is distributed Cache in MapReduce Framework?

What are the four basic parameters of a mapper?

What are the four basic parameters of a reducer?

How to write a custom partitioner for a Hadoop MapReduce job?

What is Streaming?

What is a Combiner?

Can we rename the output file?

What does a MapReduce partitioner do?

What does a split do?

What does Conf.setMapper Class do?

What do sorting and shuffling do?

What is the input type/format in MapReduce by default?

Is it mandatory to set input and output type/format in MapReduce?

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