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

Question : What is map - side join?

1. Map-side join is done in the map phase and done in memory
2. Map-side join is a technique in which data is eliminated at the map step
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4. None of these answers are correct




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Explanation: The map-side join is a technique that allows for splitting map file between different data nodes. The data will be loaded into memory. This technique allow very fast
performance for the join





Question : How can you disable the reduce step?


1. The Hadoop administrator has to set the number of the reducer slot to zero on all slave nodes. This will disable the reduce step.
2. It is impossible to disable the reduce step since it is critical part of the Map-Reduce abstraction.
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4. While you cannot completely disable reducers you can set output to one.
There needs to be at least one reduce step in Map-Reduce abstraction.



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Explanation: If developer uses MapReduce API he has full access to any number of mappers and reducers for job execution





Question : Why would one create a map-reduce without the reduce step?

1. Developers should design Map-Reduce jobs without reducers only if no reduce slots are available on the cluster
2. Developers should never design Map-Reduce jobs without reducers. An error will occur upon compile
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4. It is not possible to create a map-reduce job without at least one reduce step.
A developer may decide to limit to one reducer for debugging purposes

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Explanation: This is a map step only. MapReduce jobs are very common. They normally are used to perform transformations on data without sorting and aggregations

Related Questions

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Question : What are the reasons new Hadoop Framework named YARN has been developed?



1. Tasks slot configuration is not dynamic

2. MRv1 only supports MapReduce

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4. 2,3

5. 1,2,3



Question : Which of the following main responsibility of JobTracker has been separated in YARN?



1. Resource Management

2. Job Management

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4. 1,2

5. 1,2,3



Question : Which all are the responsibilities of ResourceManager in MRv?



1. Resource Negotiations

2. Cluster Resources allocations

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4. 2,3

5. 1,2,3



Question : What is the Responsibility of Application Master in MRv?



1. Resource negotiation

2. Job Monitoring

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4. 1,2

5. 1,2,3



Question : Map the following
A. Resource Manager
B. Node Manager
C. Application Manager
D. Container

1. Launches new Application Master
2. Track Node Manager and Create or deletes the container
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4. Request Containers for Application



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


Question : Select correct statement regarding YARN



1. We don t have to do any specific slot configuration for MapTask and ReduceTask

2. YARN is same as JobTracker of MRv1 , which supports multiple instances per cluster to scale.

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4. 1,2

5. 1,2,3