Given a Mapper, Reducer, and Driver class packaged into a jar, which is the correct way of
submitting the job to the cluster?

Which of the following utilities allows you to create and run MapReduce jobs with any executable
or script as the mapper and/or the reducer?

Custom programmer-defined counters in MapReduce are:

What is the difference between a failed task attempt and a killed task attempt?

MapReduce is well-suited for all of the following applications EXCEPT? (Choose one):

To process input key-value pairs, your mapper needs to load a 512 MB data file in memory. What
is the best way to accomplish this?

Can you use MapReduce to perform a relational join on two large tables sharing a key? Assume
that the two tables are formatted as comma-separated file in HDFS.

What types of algorithms are difficult to express MapReduce?

Which of the following best describes the map method input and output?

Does the MapReduce programming model provide a way for reducers to communicate with each
other?