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

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) Writable
C) OutputFormat
D) Combiner
E) Partitioner
F) WritableComparable

2. You have just executed a MapReduce job. Where is intermediate data written to after being emitted from
the Mapper's map method?

A) Intermediate data in streamed across the network from Mapper to the Reduce and is never written to
disk.
B) Into in-memory buffers on the TaskTracker node running the Mapper that spill over and are written into
HDFS.
C) Into in-memory buffers that spill over to the local file system of the TaskTracker node running the
Mapper.
D) Into in-memory buffers on the TaskTracker node running the Reducer that spill over and are written into
HDFS.
E) Into in-memory buffers that spill over to the local file system (outside HDFS) of the TaskTracker node
running the Reducer

3. Given the following Pig command:
logevents = LOAD 'input/my.log' AS (date:chararray, levehstring, code:int, message:string);
Which one of the following statements is true?

A) The statement is not a valid Pig command
B) The logevents relation represents the data from the my.log file, using a tab as the parsing delimiter
C) The first field of logevents must be a properly-formatted date string or table return an error
D) The logevents relation represents the data from the my.log file, using a comma as the parsing delimiter

4. Your client application submits a MapReduce job to your Hadoop cluster. Identify the Hadoop daemon on
which the Hadoop framework will look for an available slot schedule a MapReduce operation.

A) JobTracker
B) TaskTracker
C) Secondary NameNode
D) DataNode
E) NameNode

5. What is a SequenceFile?

A) A SequenceFile contains a binary encoding of an arbitrary number key-value pairs. Each key must be
the same type. Each value must be same type.
B) A SequenceFile contains a binary encoding of an arbitrary number of heterogeneous writable objects.
C) A SequenceFile contains a binary encoding of an arbitrary number of homogeneous writable objects.
D) A SequenceFile contains a binary encoding of an arbitrary number of WritableComparable objects, in
sorted order.

Solutions: