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



Question :Hadoop daemon can share the JVM


  :Hadoop daemon can share the JVM
1. True
2. False

Correct Answer : 2


Explanation: Each daemon runs in its own Jav Virtual Machine.

Refer HadoopExam.com Recorded Training Module : 2 and 3





Question :

In a cluster single node can run all the daemons ?
  :
1. Yes
2. No



Correct Answer : 1


Explanation: Technically it is possible to run all the hadoop daemons on single node, hwoever it is not advisable

Refer HadoopExam.com Recorded Training Module : 2, 14 and 16




Question : Which daemons is considered as master

  : Which daemons is considered as master
1. NameNode
2. Secondary NameNode
3. Job Tracker
4. 1,2 and 3 are correct
5. 1 and 3 are correct



Correct Answer : 4


Explanation: We can consider nodes to be in two different categories:
Master Nodes
- Run the NameNode, Secondary NameNode, JobTracker daemons
- Only one of each of these daemons runs on the cluster

Slave Nodes
- Run the DataNode and TaskTracker daemons
- A slave node will run both of these daemons

Refer HadoopExam.com Recorded Training Module : 2 and 3



Related Questions


Question : In HBase, lookup of a row is done by single key only?
 :  In HBase, lookup of a row is done by single key only?
1. True
2. False




Question : Hbase supports the transaction for single row ?
 :  Hbase supports the transaction for single row ?
1. True
2. False




Question : Which are the supported method to access the data from HBase

 :  Which are the supported method to access the data from HBase
1. get
2. put
3. scan
4. 1,2 and 3 are correct
5. It has to be accessed by Query only


Question : Rows from the HBase cab directly be inserted as input to Mapreduce job

 :  Rows from the HBase cab directly be inserted as input to Mapreduce job
1. True
2. False



Question : In which of the following scenerio we should use HBase
 :  In which of the following scenerio we should use HBase
1. If it require random read, write or both
2. If it requires to do many thousands of operations per second on multiple TB of data
3. If access pattern is well known and simple
4. All of the above




Question : In which scenerio HBase should not be used

 :  In which scenerio HBase should not be used
1. You only append to your dataset, and tend to read the whole thing
2. For ad-hoc analytics
3. If data volume is quite small
4. All of the above
5. None of the above