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Hortonworks HADOOP-PR000007 Exam Syllabus Topics:

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

1. You are developing a MapReduce job for sales reporting. The mapper will process input keys
representing the year (IntWritable) and input values representing product indentifies (Text).
Indentify what determines the data types used by the Mapper for a given job.

A) The data types specified in HADOOP_MAP_DATATYPES environment variable
B) The InputFormat used by the job determines the mapper's input key and value types.
C) The mapper-specification.xml file submitted with the job determine the mapper's input key and value
types.
D) The key and value types specified in the JobConf.setMapInputKeyClass and
JobConf.setMapInputValuesClass methods

2. MapReduce v2 (MRv2/YARN) is designed to address which two issues?

A) Standardize on a single MapReduce API.
B) Resource pressure on the JobTracker.
C) Reduce complexity of the MapReduce APIs.
D) HDFS latency.
E) Single point of failure in the NameNode.
F) Ability to run frameworks other than MapReduce, such as MPI.

3. What types of algorithms are difficult to express in MapReduce v1 (MRv1)?

A) Algorithms that require global, sharing states.
B) Large-scale graph algorithms that require one-step link traversal.
C) Relational operations on large amounts of structured and semi-structured data.
D) Algorithms that require applying the same mathematical function to large numbers of individual binary
records.
E) Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).

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

5. Review the following data and Pig code:

What command to define B would produce the output (M,62,95l02) when invoking the DUMP operator on
B?

A) B= GROUP A BY (zip = = '95102' AND gender = = 'M');
B) B = FILTER A BY (zip = = '95102' AND gender = = M");
C) B= FOREACH A BY (gender = = 'M' AND zip = = '95102');
D) B = JOIN A BY (gender = = 'M' AND zip = = '95102');

Solutions: