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

Question : Which statement is true about the storing files in HDFS



1. Files are split in the block
2. All the blocks of the files should remain on same machine
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4. All of the above
5. 1 and 3 are correct

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Question : Select the correct statement ?

1. Block size is usually 64 MB or 128 MB
2. Blocks are replicated across multiple machine
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4. All of the above

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Question : Which is the master node for tracking the files block in HDFS ?


1. JOBTracker
2. DataNode
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4. DataMasteNode

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A master node called the Namenode which keeps track of all the blocks in HDFS which make up
a complete file, and where those blocks are located. By default the replication factor in the HDFS
is three. Different blocks from the same file will be stored on different machines.

Related Questions

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Question : In the Job class ?


1. Create a Job instance

2. You submit the Job

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4. 1,2

5. 1,2,3


Question : You have submitted the Job and then you call a setXXX() method on that job instance, what will happen ?



1. It will set new values on submitted job and apply on runtime

2. It will set new values and will be applied only in the Mapper and Reducer which yet to start

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4. It will not through any error and silently discard new set value



Question : Which of the following is true?


1. Both submit() and waitForCompletion() methods are blocking call

2. Both submit() and waitForCompletion() methods are non-blocking call

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4.


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


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


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