In a MapReduce job, you want each of your input files processed by a single map task. How do you
configure a MapReduce job so that a single map task processes each input file regardless of how many
blocks the input file occupies?

• A. Increase the parameter that controls minimum split size in the job configuration.
• B. Write a custom FileInputFormat and override the method isSplitable to always return false.
• C. Set the number of mappers equal to the number of input files you want to process.
• D. Write a custom MapRunner that iterates over all key-value pairs in the entire file.

The Hadoop framework provides a mechanism for coping with machine issues such as faulty
configuration or impending hardware failure. MapReduce detects that one or a number of machines are
performing poorly and starts more copies of a map or reduce task. All the tasks run simultaneously and
the task finish first are used. This is called:

• A. Default Partitioner
• B. IdentityMapper
• C. Combine
• D. IdentityReducer
• E. Speculative Execution

Which best describes how TextInputFormat processes input files and line breaks?

• A. The input file is split exactly at the line breaks, so each RecordReader will read a series of complete
  lines.
• B. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
  split that contains the beginning of the broken line.
• C. Input file splits may cross line breaks. A line that crosses file splits is ignored.
• D. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReader of the
  split that contains the end of the broken line.
• E. Input file splits may cross line breaks. A line that crosses file splits is read by the RecordReaders of
  both splits containing the broken line.

Which one of the following statements describes the relationship between the NodeManager and the
ApplicationMaster?

• A. The NodeManager creates an instance of the ApplicationMaster
• B. The ApplicationMaster starts the NodeManager outside of a Container
• C. The NodeManager requests resources from the ApplicationMaster
• D. The ApplicationMaster starts the NodeManager in a Container