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

1. Assuming the following Hive query executes successfully:

Which one of the following statements describes the result set?

A) An 80-value ngram of sentences that contain the words "you" or "are" in the lines column of the
inputdata table.
B) A frequency distribution of the top 80 words that follow the subsequence "you are" in the lines column
of the inputdata table.
C) A bigram of the top 80 sentences that contain the substring "you are" in the lines column of the input
data A1 table.
D) A trigram of the top 80 sentences that contain "you are" followed by a null space in the lines column of
the inputdata table.

2. You need to perform statistical analysis in your MapReduce job and would like to call methods in the
Apache Commons Math library, which is distributed as a 1.3 megabyte Java archive (JAR) file. Which is
the best way to make this library available to your MapReducer job at runtime?

A) Have your system administrator place the JAR file on a Web server accessible to all cluster nodes and
then set the HTTP_JAR_URL environment variable to its location.
B) Package your code and the Apache Commands Math library into a zip file named JobJar.zip
C) When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
D) Have your system administrator copy the JAR to all nodes in the cluster and set its location in the
HADOOP_CLASSPATH environment variable before you submit your job.

3. 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
B) mn (i.e., m to the power of n)
C) mXn (i.e., m multiplied by n)
D) n
E) m+n (i.e., m plus n)

4. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your
workload across you cluster?

A) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted
order.
B) There are no concerns with this approach. It is always advisable to use multiple reduces.
C) You will longer be able to take advantage of a Combiner.
D) You will not be able to compress the intermediate data.

5. Given the following Pig commands:

Which one of the following statements is true?

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

Solutions: