Practice Mapreduce Multiple Choice Questions with Answers Quiz-1

Q.1.

__________ maps input key/value pairs to a set of intermediate key/value pairs.

Explanation

Q.2.

The number of maps is usually driven by the total size of ____________

Explanation

Q.3.

A ________ node acts as the Slave and is responsible for executing a Task assigned to it by the JobTracker.

Explanation

Q.4.

Point out the correct statement.

Explanation

Q.5.

___________ part of the MapReduce is responsible for processing one or more chunks of data and producing the output results.

Explanation

Q.6.

_________ function is responsible for consolidating the results produced by each of the Map() functions/tasks.

Explanation

Q.7.

Point out the wrong statement.

a) A MapReduce job usually splits the input data-set into independent chunks which are processed by the map tasks in a completely parallel manner
b) The MapReduce framework operates exclusively on <key, value> pairs
c) Applications typically implement the Mapper and Reducer interfaces to provide the map and reduce methods
d) None of the mentioned

Explanation

Q.8.

Although the Hadoop framework is implemented in Java, MapReduce applications need not be written in ____________

Explanation

Q.9.

________ is a utility which allows users to create and run jobs with any executables as the mapper and/or the reducer.

Explanation

Q.10.

_________ is the default Partitioner for partitioning key space.

Explanation

Q.11.

Running a ___________ program involves running mapping tasks on many or all of the nodes in our cluster.

Explanation