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Hortonworks Hadoop 2.0 Certification exam for Pig and Hive Developer Sample Questions:

1. You have a directory named jobdata in HDFS that contains four files: _first.txt, second.txt, .third.txt and #data.txt. How many files will be processed by the FileInputFormat.setInputPaths () command when it's given a path object representing this directory?

A) Two, file names with a leading period or underscore are ignored
B) None, the directory cannot be named jobdata
C) Four, all files will be processed
D) Three, the pound sign is an invalid character for HDFS file names
E) One, no special characters can prefix the name of an input file

2. When can a reduce class also serve as a combiner without affecting the output of a MapReduce program?

A) Always. Code can be reused in Java since it is a polymorphic object-oriented programming language.
B) When the signature of the reduce method matches the signature of the combine method.
C) When the types of the reduce operation's input key and input value match the types of the reducer's output key and output value and when the reduce operation is both communicative and associative.
D) Always. The point of a combiner is to serve as a mini-reducer directly after the map phase to increase performance.
E) Never. Combiners and reducers must be implemented separately because they serve different purposes.

3. In Hadoop 2.0, which one of the following statements is true about a standby NameNode?
The Standby NameNode:

A) Processes all client requests and block reports from the appropriate DataNodes.
B) Communicates directly with the active NameNode to maintain the state of the active NameNode.
C) Runs on the same machine and shares the memory of the active NameNode.
D) Receives the same block reports as the active NameNode.

4. Which one of the following statements describes the relationship between the ResourceManager and the ApplicationMaster?

A) The ApplicationMaster requests resources from the ResourceManager
B) The ApplicationMaster starts an instance of the ResourceManager within each Container
C) The ApplicationMaster starts a single instance of the ResourceManager
D) The ResourceManager monitors and restarts any failed Containers of the ApplicationMaster

5. 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) Partitioner
C) InputFormat
D) WritableComparable
E) Combiner
F) Writable

Solutions: