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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

Question 1

You've written a MapReduce job that will process 500 million input records and generated 500 million
key-value pairs. The data is not uniformly distributed. Your MapReduce job will create a significant
amount of intermediate data that it needs to transfer between mappers and reduces which is a potential
bottleneck. A custom implementation of which interface is most likely to reduce the amount of
intermediate data transferred across the network?

A. InputFormat
B. WritableComparable
C. Writable
D. Partitioner
E. OutputFormat
F. Combiner

Question 2

How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A. Keys are presented to reducer in sorted order; values for a given key are not sorted.
B. Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
C. Keys are presented to a reducer in random order; values for a given key are not sorted.
D. Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.

Question 3

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. Package your code and the Apache Commands Math library into a zip file named JobJar.zip
B. 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.
C. When submitting the job on the command line, specify the -libjars option followed by the JAR file path.
D. 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.

Question 4

You want to Ingest log files Into HDFS, which tool would you use?

A. Ambari
B. Flume
C. Sqoop
D. HCatalog

Question 5

Examine the following Hive statements:

Assuming the statements above execute successfully, which one of the following statements is true?

A. The contents of File1 are parsed as comma-delimited rows and loaded into /user/joe/x/
B. Hive reformats File1 into a structure that Hive can access and moves into to/user/joe/x/
C. The contents of File1 are parsed as comma-delimited rows and stored in a database
D. The file named File1 is moved to to/user/joe/x/

Solutions: