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

1. Which one of the following is NOT a valid Oozie action?

A) mrunit
B) pig
C) hive
D) mapreduce

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

3. Which one of the following statements is true regarding a MapReduce job?

A) The job's Partitioner shuffles and sorts all (key.value) pairs and sends the output to all reducers
B) The default Hash Partitioner sends key value pairs with the same key to the same Reducer
C) The Mapper must sort its output of (key.value) pairs in descending order based on value
D) The reduce method is invoked once for each unique value

4. Which two of the following are true about this trivial Pig program' (choose Two)

A) myfile is read from the user's home directory in HDFS
B) ABC has a schema associated with it
C) The contents of myfile appear on stdout
D) Pig assumes the contents of myfile are comma delimited

5. 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) map
B) configure
C) init
D) combine

Solutions: