What do sorting and shuffling do?
Why is Apache Spark faster than Hadoop MapReduce?
Is it legal to set the number of reducer task to zero? Where the output will be stored in this case?
How does MapReduce framework view its input internally?
Explain the input type/format in mapreduce by default?
What is shuffleing in mapreduce?
What is a scarce system resource?
What is a TaskInstance?
What is a partitioner and how the user can control which key will go to which reducer?
What is the function of mapreduce partitioner?
With the help of two examples name the map and reduce function purpose
In MapReduce Data Flow, when Combiner is called?
For a job in Hadoop, is it possible to change the number of mappers to be created?