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



Question : Please arrange below statements in order of execution

A. output is generated in SequenceFile format and stored on local disk
B. Convert input text data into UTF-8 Writable Text format
C. map() method process key and value
D. Shuffle data and submit to reducer
E. Output stored in text format on HDFS/MapR-FS

 : Please arrange below statements in order of execution
1. B,C,A,D,E
2. A,B,C,D,E
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4. E,D,A,B,C
5. C,A,B,E,D

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Question : If your process involves two MapReduce job. Then which is the ideal scenario?


 : If your process involves two MapReduce job. Then which is the ideal scenario?
1. Input to Job1 (Text File) , Output of Job1(Text) ,Input to job2(Text) , Output to Job2(Text)

2. Input to Job1 (Text File) , Output of Job1(SequneceFile) ,Input to job2(SequneceFile) , Output to Job2(SequneceFile)

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4. All above will give same performance.

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Question : Select correct statement regarding compression in MapR
A. MapR by default supports configurable compression at the volume level
B. If data added on the volume is different type for each directory. Then you can configure compression codec on directory level
C. MapR can detect the compression type of data , based on file extension or from header information in Sequence file
D. You can use LD_LIBRARY_PATH environment variable to point to the directory containing native codecs
 : Select correct statement regarding compression in MapR
1. A,B,C
2. B,C,D
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4. C,D
5. A,B,C,D

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Related Questions


Question : Which of the following is a correct statement regarding MapReduce job performance


 : Which of the following is a correct statement regarding MapReduce job performance
1. You need to optimize memory, dist IO and networkIO to optimize the Space taken during the Job execution.

2. You need to optimize map and reduce task code execution steps time, to save the total time of job execution.

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4. 1,2

5. 1,2,3



Question : You are a Hadoop Administrator, you need to optimize MapReduce Job. And decided to first look on the Slot configuration.
So what you should keep in your mind, for slot configuration?

 : You are a Hadoop Administrator, you need to optimize MapReduce Job. And decided to first look on the Slot configuration.
1. You can reserve the slot for Map Tasks only

2. One slot can run only one either Map or Reduce Task

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



Question : Select all applies to Slot (Map Slot and Reduce Slot)


 : Select all applies to Slot (Map Slot and Reduce Slot)
1. Total number of reduce slots should be lower than the total number of map slots

2. You can reserve slots for both Reducer and Map tasks

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4. 1,2

5. 1,2,3




Question : In MapR, using the ___________ feature means that each task tracker will reserve one or more ________ slots for executing ____________.


 : In MapR, using the ___________ feature means that each task tracker will reserve one or more ________ slots for executing ____________.
1. ExpressLane, ceephemeral Â? , cesmall jobs Â?

2. FastLane, non-ephemeral, big jobs

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4. ExpressLane , 'non-ephemeral' , big jobs



Question : Slot configuration is depend on

 : Slot configuration is depend on
1. CPU

2. RAM

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4. 1,2

5. 1,2,3


Question : Which of the following options can be used as valid way to optimize MapReduce algorithm
A. Using reducer as Combiner or having Custom combiner (mini-reducer)
B. Compressing intermediate results of MapTasks
C. Optimizing number of reducer
D. Using Speculative Execution
E. Reusing the JVM
F. Configuring sorting properties
G. Configuring java properties
 : Which of the following options can be used as valid way to optimize MapReduce algorithm
1. C,D,E,F,G
2. A,B,C,D
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4. B,C,D,E,F
5. A,B,C,D,E,F,G