COMPUTER SCIENCE AND ENGINEERING
CLOUD COMPUTING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
|
|
MapReduce tries to place the data and the compute as close as possible
|
|
|
Map Task in MapReduce is performed using the Mapper() function
|
|
|
Reduce Task in MapReduce is performed using the Map() function
|
|
|
All the answer are correct
|
Detailed explanation-1: -Expert-Verified Answer. MapReduce is a programming framework that allows us to perform distributed and parallel processing on large data sets in a distributed environment.
Detailed explanation-2: -The partitioner is responsible for processing the map output. Once MapReduce splits the data into chunks and assigns them to map tasks, the framework partitions the key-value data. This process takes place before the final mapper task output is produced. MapReduce partitions and sorts the output based on the key.
Detailed explanation-3: -The MapReduce algorithm contains two important tasks, namely Map and Reduce. Map takes a set of data and converts it into another set of data, where individual elements are broken down into tuples (key/value pairs).
Detailed explanation-4: -Question 7:Which statement is true about the Reduce phase of MapReduce? Containers are used instead of slots in MRv1, and can be used with either Map or Reduce tasks in MRv2.