What do sorting and shuffling do?
What is identity mapper and reducer? In which cases can we use them?
Different ways of debugging a job in MapReduce?
What can be optimum value for Reducer?
What is the default input type in MapReduce?
Explain what is distributed cache in mapreduce framework?
What is the difference between map and reduce?
Detail description of the Reducer phases?
When the reducers are are started in a mapreduce job?
When should you use a reducer?
Can we rename the output file?
What is Shuffling and Sorting in a MapReduce?
Whether the output of mapper or output of partitioner written on local disk?
Is it legal to set the number of reducer task to zero? Where the output will be stored in this case?
How many numbers of reducers run in Map-Reduce Job?
