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

Question : Can you provide multiple input paths to a map-reduce jobs?

1. Yes, but only in Hadoop 0.22+
2. No, Hadoop always operates on one input directory
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4. Yes, but the limit is currently capped at 10 input paths.



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Explanation: The Hadoop framework is capable of taking different input paths and assigning different mappers for each one. This is a very convenient way of writing different mappers to
handle various datasets




Question : Can you assign different mappers to different input paths?


1. Yes, but only if data is identical.
2. Yes, different mappers can be assigned to different directories
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4. Yes but only in Hadoop .22+




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Explanation: Assigning different mappers to different data sources is the way to quickly and efficiently create code for processing multiple formats.






Question : Can you suppress reducer output?


1. Yes, there is a special data type that will suppress job output
2. No, map reduce job will always generate output.
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4. Yes, but only during map execution when reducers have been set to zero



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Explanation: There are a number of scenarios where output is not required from reducers. For instance, web crawling or image processing does not require external fetch or data processing.

Related Questions

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Question : Arrange following in correct order of execution
A. call to main() method
B. Instantiation of new Configuration object
D. job.waitForCompletion()
C. Calling ToolRunner.run() static method


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


Question : Select the correct statement for Driver class



1. Driver class needs to check input argument if input directory path is provided or not.

2. We have to configure mapper.reducer in Driver class only

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4. 1,3

5. 1,2,3


Question : Sometimes, before running your MapReduce job. You configure the below environment variable
LD_LIBRARY_PATH
Why?


1. It defines a list of directories where your executables are located

2. It points to all the jars in the Hadoop distribu3on required to compile and run your MapReduce programs

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4. 1,3

5. 1,2,3


Question : In MapReduce jobs all the values must implemented following interfaces



1. Comparable

2. Writable

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4. 1,2
5. 1,2,3



Question : In MapReduce jobs all the keys must implemented following interfaces


1. Comprable

2. Witable

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4.



Question : Put the following java classes in order, as they act when mapper is executed.
A. InputKey
B. InputSplit
C. RecordReader
D. InputFormat


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