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Last Updated: May 28, 2026

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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) configure
B) combine
C) init
D) map


2. What is the disadvantage of using multiple reducers with the default HashPartitioner and distributing your workload across you cluster?

A) You will not be able to compress the intermediate data.
B) By using multiple reducers with the default HashPartitioner, output files may not be in globally sorted order.
C) There are no concerns with this approach. It is always advisable to use multiple reduces.
D) You will longer be able to take advantage of a Combiner.


3. You need to run the same job many times with minor variations. Rather than hardcoding all job configuration options in your drive code, you've decided to have your Driver subclass org.apache.hadoop.conf.Configured and implement the org.apache.hadoop.util.Tool interface.
Indentify which invocation correctly passes.mapred.job.name with a value of Example to Hadoop?

A) hadoop setproperty ("mapred.job.name=Example") MyDriver input output
B) hadoop "mapred.job.name=Example" MyDriver input output
C) hadoop setproperty mapred.job.name=Example MyDriver input output
D) hadoop MyDrive -D mapred.job.name=Example input output
E) hadoop MyDriver mapred.job.name=Example input output


4. How are keys and values presented and passed to the reducers during a standard sort and shuffle phase of MapReduce?

A) Keys are presented to reducer in sorted order; values for a given key are not sorted.
B) Keys are presented to a reducer in random order; values for a given key are sorted in ascending order.
C) Keys are presented to reducer in sorted order; values for a given key are sorted in ascending order.
D) Keys are presented to a reducer in random order; values for a given key are not sorted.


5. Which project gives you a distributed, Scalable, data store that allows you random, realtime read/write access to hundreds of terabytes of data?

A) Hue
B) Pig
C) Oozie
D) Sqoop
E) Flume
F) HBase
G) Hive


Solutions:

Question # 1
Answer: A
Question # 2
Answer: B
Question # 3
Answer: D
Question # 4
Answer: A
Question # 5
Answer: F

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