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

Question : Which Daemons control the Hadoop Mapreduce Job

1. TaskTracker
2. NameNode
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4. JobTracker



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Question : Arrange the life cycle of the Mapreduce Job based on below option
1. Each Nodes which run SOFTWARE DAEMON known as Tasktracker
2. Clients submit the Mapreduce Job to the Jobtracker
3. The Jobtracker assigns Map and reduce Tasks to the other nodes on the cluster
4. The TaskTracker is responsible for actually instantiating the Map and Reduce Task
5. Tasktracker report the tasks progress back to the JobTracker

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

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Question : How to define a Job in Hadoop ?


1. Is the execution of Mapper or reducer instance
2. A couple of Mapper and reducer which work on same file block
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4. None of the above

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Related Questions

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Question : The key output of the Mapper must be identical to reducer input key.

1. True
2. False




Question : One key is processed by one reducer ?

1. True
2. False




Question : Number of the Mapper configuration is defined in JobConf object ?


1. True
2. False




Question :Number of reducer is defined by the user ?


1. True
2. False


Question : Developer has submitted the YARN Job, by calling submitApplication() method on Resource Manager.
Please select the correct order of the below steps after that

1. Container will be managed by Node Manager after job submission
2. Resource Manager triggers its sub-component Scheduler, which allocates containers for mapreduce job execution.
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1. 2,3,1
2. 1,2,3
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4. 1,3,2


Question : Which statement is correct for below code snippet

public class TokenCounterMapper
extends Mapper [Object, Text, Text, IntWritable>{

private final static IntWritable one = new IntWritable(1);
private Text word = new Text();

public void map(Object key, Text value, Context context) throws IOException, InterruptedException {
StringTokenizer itr = new StringTokenizer(value.toString());
while (itr.hasMoreTokens()) {
word.set(itr.nextToken());
}
context.write(word, one);

}
}



1. All key value pair will be written to context
2. Some key value pair will be written to context
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4. No key value pair will be written to context