What do sorting and shuffling do?
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What are advantages of Spark over MapReduce?
What is identity mapper and reducer? In which cases can we use them?
Where sorting is done in Hadoop MapReduce Job?
How to set the number of mappers for a MapReduce job?
Explain what is shuffling in mapreduce?
In Hadoop, which file controls reporting in Hadoop?
When the reducers are are started in a mapreduce job?
How does MapReduce framework view its input internally?
Explain what you understand by speculative execution
Explain what does the conf.setmapper class do?
Is it possible to rename the output file?
With the help of two examples name the map and reduce function purpose
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