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

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

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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


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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

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Related Questions

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Question : Please map the below, for compression types?
A. NONE
B. RECORD
C. BLOCK

1. Do not compress
2. Compress only values
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4. Compress both value and key


1. A-1, B-4, C-3
2. A-1, B-3, C-4
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4. A-1, B-2, C-3
5. A-3, B-2, C-4


Question : Which of the following information, is stored in a header of Sequence file?
A. Magic number to know, it s a SequnceFile
B. Type of key
C. Type of Value
D. Compression Codec detail


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


Question : In case of SequenceFile, all the keys are stored in header and their respective values are stored as a content. Including key length and value
length.

1. True
2. False


Question : Select correct statement regarding SequenceFile
A. '\n' is used as a record terminator
B. Sync marker is used as a record terminator
C. The key-value records are bundled into blocks.
D. The block delimiters are called "markers", and the size of a block is tunable

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


Question : You have to write a Job , which reads SequenceFile and produce as an output Compressed SequenceFile (Compression type is Gzip). Below is the
code snippet for Driver class

setOutputFormatClass(1)
setCompressOutput(2)
setOutputCompressorClass(3)
setOutputCompressionType(4)
setInputFormatClass(5)

Map the below.

B. job,true
C. job, GzipCodec.class
D. job, CompressionType.BLOCK
E. SequenceFileInputFormat.class
A. SequenceFileOutputFormat.class


1. 1-B, 2-A, 3-D, 4-C, 5-E
2. 1-E, 2-B, 3-C, 4-D, 5-A
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4. 1-A, 2-B, 3-C, 4-D, 5-E
5. 1-D, 2-B, 3-C, 4-A, 5-E


Question : Using SequenceFile can save disk space as well as time if more than one MapReduce jobs are chained together

1. True
2. False