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Cloudera Hadoop Developer Certification Questions and Answer (Dumps and Practice Questions)



Question :

Which is the correct command to list all the files from current directory
:
1. hadoop fs -ls
2. hadoop fs -list
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4. All of the above



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Question :

Which is the correct command ?

:
1. hadoop fs -ls
2. hadoop fs -copyToLocal /user/pappu/pappu.txt pappu.txt
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4. 1,2 and 3 are correct
5. Only 1 and 2 are correct




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Question : Which is the correct command to delete the directory
: Which is the correct command to delete the directory
1. hadoop fs -r pappu
2. hadoop fs -remove pappu
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4. hadoop fs -rem pappu

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Related Questions

Question : You are working on a project of HadoopExam client where you need to chain together MapReduce and Pig jobs.
You also need the ability to use forks, decision points, and path joins.
Which of the following ecosystem projects allows you to accomplish this?

 : You are working on a project of HadoopExam client where you need to chain together MapReduce and Pig jobs.
1. Oozie
2. MapReduce chaining
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4. Zookeeper
5. Hue


Question :
You have the following key-value pairs as output from your Map task:
(HadoopExam, 1)
(Is, 1)
(the, 1)
(best, 1)
(material, 1)
(provider, 1)
(for, 1)
(the, 1)
(Hadoop, 1)
How many keys will be passed to the Reducer's reduce() method?


 :
1. 9
2. 8
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4. 6
5. 5


Question : While processing the file using MapReduce framework, the output of the Mapper which we call as
intermediate key-value pairs, select the correct statemen for this output of the mappers.
 : While processing the file using MapReduce framework, the output of the Mapper which we call as
1. Intermediate key-value pairs are written to the HDFS of the machines running the map tasks, and then copied to the machines running the reduce tasks.
2. Intermediate key-value pairs are written to the local disks of the machines running the reduce tasks.
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4. Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then read by the machines running the reduce tasks.


Question : HadoopExam stores everyday, the users IP address+location as a string in the file as well as
number of total clicks as an Integer (Incremented for each click) and this is quite huge file,
where the keys are strings (address+location), and the values are integers (clicks).
For each unique key, you want to identify the largest integer. In writing a MapReduce program to accomplish this,
using the combine is advantageous ?
 : HadoopExam stores everyday, the users IP address+location as a string in the file as well as
1. Yes
2. No
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4. Yes, if configured while cluster setup


Question : A MapReduce program has two components: one that implements the mapper, and another that implements the reducer. You have to implement
map() method for the Mapper and reduce() method for the reducer. When is the earliest that the reduce() method of any reduce task of your submitted
job will be called?
 : A MapReduce program has two components: one that implements the mapper, and another that implements the reducer. You have to implement
1. Not until all map tasks have completed
2. As soon as first map tasks have completed
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4. It can be started any time during the Job no particular time


Question : While processing Timeseries data of the QuickTechi Inc log file using MapReduce ETL batch job you have set up the number of reducers
to 1 (one) . Select the correct statment which applies.
 : While processing Timeseries data of the QuickTechi Inc log file using MapReduce ETL batch job you have set up the number of reducers
1. A single reducer gathers and processes all the output from all the mappers. The output is written to a multiple file in HDFS.
2. Number of reducers can not be configured, it is determined by the NameNode during runtime.
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4. A single reducer will process all the output from all the mappers. The output is written to a single file in HDFS.