Mapr (HP) Hadoop Developer Certification Questions and Answers (Dumps and Practice Questions)

Question : Select correct statememnt regarding OOZie workflow


1. It is a Client-Server workflow engine for Hadoop ecosystem components

2. It is a Direct Acyclic Graph

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4. 1,2

5. 1,2,3

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Explanation:




Question : In a OOZie workflow , we can


1. Control flow node can be start of the workflow

2. Controlflow node can be end of the workflow

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4. 1,2

5. 1,2,3

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Explanation:




Question : What is/are wll ways by which job complete?





1. 0

2. 1

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4. 3




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Explanation: Either by error or job completes successfully.

Related Questions

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Question : You have created two jobs JobA and JobB. And you also implemented mapper and reducer named as MapperA , MapperB, ReducerA and ReducerB.
Now you have following Driver code main method

public void main(String args[]){
JobConf jobA = new JobConf();
jobA.setMapperClaas(MapperA.class);
jobA.setReducerClas(ReducerA.class);
JobClient.runJob(jobA);

JobConf jobB = new JobConf();
jobB.setMapperClaas(MapperB.class);
jobB.setReducerClas(ReducerB.class);
JobClient.runJob(jobB);


}





1. In this case both jobA and jobB run in parallel

2. Both JobA and JobB can run in any Random order based on input data size

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4. JobB will be completed first and then JobA will be started



Question : Select correct statement regarding JobChaining


1. ChainMapper and ChainReducer to chain successive mapper or Successive reducers

2. It perform better because, data transfer is done using memory instead of Disk

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4. 1,2

5. 1,2,3


Question : Please keep below statements in their execution order
A. One or more mappers
B. Shuffle phase
C. Exactly one reducer
D. Zero or more mappers

1. A,B,C,D

2. B,D,C,A

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4. D,A,C,B
5. B,C,D,A


Question : Suppose we have a MapReduce job, which needs two Mappers MapperA , MapperB and then one Reducer after that also it required two more mappers
MapperC and MapperD . Below is the code snippet of chaining entire flow.

JobConf conf = new JobConf(true);
JobConf confA = new JobConf(false);

JobConf confB = new JobConf(false);
JobConf reduceConf = new JobConf(false);
JobConf confC = new JobConf(false);
JobConf confD = new JobConf(false);

ChainMapper.addMapper(conf, MapperA.class,Text.class, Text.class,Text.class, Text.class,true, confA);
ChainMapper.addMapper(conf, MapperB.class,Text.class, Text.class,Text.class, Text.class,false, 1);
ChainReducer.setReducer(conf, Reduce.class,Text.class, Text.class,Text.class, Text.class,true, 2);
ChainMapper.addMapper(conf, MapperC.class,Text.class, Text.class,Text.class, Text.class,false, 3);
ChainMapper.addMapper(conf, MapperD.class,Text.class, Text.class,Text.class, Text.class,false, 4);

How can you replace 1,2,3,4

1. 1-->confB , 2-->reduceConf , 3-->confC , 4--> confD

2. 1-->confB , 2-->reduceConf , 3-->confB , 4--> confB

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4. 1-->confA , 2-->reduceConf , 3-->confC , 4--> confC


Question : Select correct statement, regarding MapReduce chaining



1. ChainMapper and ChainReducer to chain successive mapper or Successive reducers

2. Output of one Mapper class can go to another Mapper in same Task

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4. 1,2

5. 1,2,3



Question : SequenceFile in a MapReduce job are:



1. Before submitting data to Mapper , it is always converted in SequnceFile

2. Mapper always generate intermediate outpout as a SequnceFile

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4. 1,2

5. 1,2,3