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



Question : What are supported programming language for Hadoop


  : What are supported programming language for Hadoop
1. Java and Scripting Language
2. Any Programming Language
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4. C , Cobol and Java



Correct Answer : Get Lastest Questions and Answer :

Most of the scripting languages like php, python, perl, ruby bash is good.
Any language able to read from stdin, write to sdtout and parse tab and new line characters will work:
Hadoop Streaming just pipes the string representations of key value pairs as concatenated with a tab
to an arbitrary program that must be executable on each task tracker node.

And Java is obviously true.

Heart Beat of child nodes will not be sent to the parent nodes when we are using scripting languages





Question : How does Hadoop process large volumes of data?


  : How does Hadoop process large volumes of data?
1. Hadoop uses a lot of machines in parallel. This optimizes data processing.
2. Hadoop was specifically designed to process large amount of data by taking advantage of MPP hardware
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4. Hadoop uses sophisticated caching techniques on namenode to speed processing of data



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The basic design principles of Hadoop is to eliminate the data copying between different datanodes

Refer HadoopExam.com Recorded Training Module : 2 and 3





Question : What are sequence files and why are they important?


  : What are sequence files and why are they important?
1. Sequence files are binary format files that are compressed and are splitable.
They are often used in high-performance map-reduce jobs
2. Sequence files are a type of the file in the Hadoop framework that allow data to be sorted
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4. All of above

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Explanation: Hadoop is able to split data between different nodes gracefully while keeping data compressed.
The sequence files have special markers that allow data to be split across entire cluster

The sequence file format supported by Hadoop breaks a file into blocks and then optionally compresses the blocks in a splittable way

It is also worth noting that, internally, the temporary outputs of maps are stored using SequenceFile.
The SequenceFile provides a Writer, Reader and Sorter classes for writing, reading and sorting respectively.

Refer HadoopExam.com Recorded Training Module : 7




Related Questions


Question : In YARN which component monitors the progress of the task.

  : In YARN which component monitors the progress of the task.
1. Resource Manager

2. Application Manager

3. Node Manager

4. JobTracker


Question : Select the correct Job Monitoring options in YARN

  : Select the correct Job Monitoring options in YARN
1. JobTracker web UI

2. MapR matrics database

3. History Server UIs

4. hadoop job command


Question : Which of the following is reported using Heartbeat from TaskTracker to JobTracker in MRv

  : Which of the following is reported using Heartbeat from TaskTracker to JobTracker in MRv
1. Complete status of how many Key values are being processed.

2. If there is any error in shuffle process

3. It will report the status of MapTask or ReduceTask

4. Available RAM on each node

5. Available CPUs on each node


Question : When you submit the Job on client node, which of the following is instantiated first.

  : When you submit the Job on client node, which of the following is instantiated  first.
1. JobTracker

2. TaskTracker

3. NodeManager

4. JobManager

5. Job


Question : YARN architecture supports the separation of resource management and job management

  : YARN architecture supports the separation of resource management and job management
1. True
2. False


Question : In MRv JobTracker supports the both resource management and job management

  :  In MRv JobTracker supports the both resource management and job management
1. True
2. False