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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

1. 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.

2. In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there
be in the sort/shuffle phase?

A) m+n (i.e., m plus n)
B) n
C) mn (i.e., m to the power of n)
D) mXn (i.e., m multiplied by n)
E) m

3. Given the following Pig commands:

Which one of the following statements is true?

A) The grouped relation is not valid
B) The $1 variable represents the first column of data in 'my.log'
C) The severe relation is not valid
D) The $1 variable represents the second column of data in 'my.log'

4. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Never. Combiners and reducers must be implemented separately because they serve different purposes.
B) When the signature of the reduce method matches the signature of the combine method.
C) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
D) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
E) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.

5. Given a directory of files with the following structure:
line number, tab character, string:
Example:
1 abialkjfjkaoasdfjksdlkjhqweroij
2 kadfjhuwqounahagtnbvaswslmnbfgy
3 kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
the line: conf.setInputFormat (____.class) ; ?

A) BDBInputFormat
B) SequenceFileInputFormat
C) KeyValueFileInputFormat
D) SequenceFileAsTextInputFormat

Solutions: