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

Question 2

All keys used for intermediate output from mappers must:

A. Implement WritableComparable.
B. Override isSplitable.
C. Be a subclass of FileInputFormat.
D. Implement a splittable compression algorithm.
E. Implement a comparator for speedy sorting.

Question 3

What data does a Reducer reduce method process? Reference: Yahoo! Hadoop Tutorial, Module 4:
MapReduce

A. All data produced by a single mapper.
B. All data for a given value, regardless of which mapper(s) produced it.
C. All data for a given key, regardless of which mapper(s) produced it.
D. All the data in a single input file.

Question 4

You want to populate an associative array in order to perform a map-side join. You've decided to put this
information in a text file, place that file into the DistributedCache and read it in your Mapper before any
records are processed. Indentify which method in the Mapper you should use to implement code for
reading the file and populating the associative array?

A. configure
B. map
C. combine
D. init

Question 5

Consider the following two relations, A and B.

Which Pig statement combines A by its first field and B by its second field?

A. C = JOIN A a1, B b2;
B. C = DOIN B BY a1, A by b2;
C. C = JOIN A SO, B $1;
D. C = JOIN A by al, B by b2;

Solutions: