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

Question : Using ToolRunner allows you to make use of the GenericOptionsParser , which help us


1. to pass Hadoop Options

2. to pass command-line arguments

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4. 1,2

5. 1,2,3

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Explanation: GenericOptionsParser is a utility to parse command line arguments generic to the Hadoop framework. GenericOptionsParser recognizes
several standarad
command line arguments, enabling applications to easily specify a namenode, a jobtracker, additional configuration resources etc

-conf specify a configuration file
-D use value for given property
-fs specify a namenode
-jt specify a job tracker
-files specify comma separated
files to be copied to the map reduce cluster
-libjars specify comma separated
jar files to include in the classpath.
-archives specify comma
separated archives to be unarchived on the compute machines.





Question : Put in correct order by which Hadoop Configuration can be override with priority from lowest to highest
A. Hadoop Framework JarFile (In built in framework)
B. Global XML file
C. Local XML file
D. Command-line arguments
E. Within the Driver class


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

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Explanation: The last place that you can define the configuration parameters before the job launch is within the driver itself




Question : Which all are types of Counter available in MapReduce framework
A. File-System level
B. Job level
C. Framework level
D. Custom counter

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

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Explanation: There are 4 types of counter available in Hadoop framework

1. File-System level : How much bytes have been written or read from MapR-FS or Local File System
2. Job Level : How many map tasks and reduce task executed.
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4. Custom : MapReduce allows you to define your own custom counters. Custom counters are useful for counting specific records such as Bad Records, as the
framework counts only total records. Custom counters can also be used to count outliers such as example maximum and minimum values, and for summations.

Related Questions

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Question : To Create a MapReduce Jobs workflow which framework can be used ?



1. Sqoop
2. Hive
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4. OOzie




Question :

Which language is used in oozie to define MapReduce workflow

1. Java
2. XML
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4. None of the above




Question :

Select the correct statement?

1. In oozie workflow, all the MapReduce jobs can run in sequence only
2. Jobs can run parallel as well as in sequence
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4. All of the above
5. 2 and 3



Question : What is the benefit of the Hadoop framework

1. Can process PetaBytes of data volume
2. Can store PetaBytes of Structured and Unstructured data
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4. All of the above




Question : In which of the below scenerio Hadoop framework should not be used

1. Working with small and structured datasets
2. If there is a requirement of transaction
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4. 1 and 2
5. 1 , 2 and 3


Question : DistCp tool is used for

1. Tool used for large inter or intra cluster copying
2. Uses MapReduce for distribution
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4. None of the above