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

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



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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

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Hadoop is not a good fit for Small Data sets and wherever is a need for Transactions e.g. OLTP

Refer HadoopExam.com Recorded Training Module : 1





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



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DistCp (distributed copy) is a tool used for large inter/intra-cluster copying.
It uses Map/Reduce to effect its distribution, error handling and recovery, and reporting.
It expands a list of files and directories into input to map tasks,
each of which will copy a partition of the files specified in the source list.
Its Map/Reduce pedigree has endowed it with some quirks in both its semantics and execution.
The purpose of this document is to offer guidance for common tasks and to elucidate its model.

Refer HadoopExam.com Recorded Training Module : 2

Related Questions

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Question : Using the Combiner will increase the network overhead ?


1. True
2. False


Question : A combiner reduce the amount of data sent to the Reducer ?


1. True
2. False


Question : Combiner reduces the network traffic but increases the amount of work needed to be done by the reducer ?


1. True
2. False


Question : Which is the correct for Pseudo-Distributed mode of the Hadoop


1. This a single machine cluster
2. All daemons run on the same machine
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4. All 1,2 and 3 are correct
5. Only 1 and 2 are correct





Question : Which daemon is responsible for the Housekeeping of the NameNode ?

1. JobTracker
2. Tasktracker
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4. Secondary NameNode




Question : Which daemon is responsible for instantiating and monitoring individual Map and Reduce Task

1. JobTracker
2. TaskTracker
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4. DataNode