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

1. Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?

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

2. To use a lava user-defined function (UDF) with Pig what must you do?

A) Put the JAR file into the user's home folder in HDFS
B) Define an alias to shorten the function name
C) Register the JAR file containing the UDF
D) Pass arguments to the constructor of UDFs implementation class

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

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

4. In a MapReduce job with 500 map tasks, how many map task attempts will there be?

A) At least 500.
B) It depends on the number of reduces in the job.
C) Exactly 500.
D) At most 500.
E) Between 500 and 1000.

5. You have written a Mapper which invokes the following five calls to the OutputColletor.collect method:
output.collect (new Text ("Apple"), new Text ("Red") ) ;
output.collect (new Text ("Banana"), new Text ("Yellow") ) ;
output.collect (new Text ("Apple"), new Text ("Yellow") ) ;
output.collect (new Text ("Cherry"), new Text ("Red") ) ;
output.collect (new Text ("Apple"), new Text ("Green") ) ;
How many times will the Reducer's reduce method be invoked?

A) 6
B) 3
C) 5
D) 1
E) 0

Solutions: