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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) - HADOOP-PR000007 real prep

HADOOP-PR000007
  • Exam Code: HADOOP-PR000007
  • Exam Name: Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer)
  • Updated: Dec 08, 2025
  • Q & A: 110 Questions and Answers
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Hortonworks-Certified-Apache-Hadoop-2.0-Developer(Pig and Hive Developer) Sample Questions:

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


2. Given a directory of files with the following structure:
line number, tab character, string:
Example:
1 abialkjfjkaoasdfjksdlkjhqweroij
2 kadfjhuwqounahagtnbvaswslmnbfgy
3 kjfteiomndscxeqalkzhtopedkfsikj
You want to send each line as one record to your Mapper. Which InputFormat should you use to complete
the line: conf.setInputFormat (____.class) ; ?

A) BDBInputFormat
B) SequenceFileAsTextInputFormat
C) KeyValueFileInputFormat
D) SequenceFileInputFormat


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

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


4. 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) 1
B) 6
C) 0
D) 5
E) 3


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

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


Solutions:

Question # 1
Answer: C
Question # 2
Answer: C
Question # 3
Answer: D
Question # 4
Answer: E
Question # 5
Answer: D

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