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

Question : You have created two jobs JobA and JobB. And you also implemented mapper and reducer named as MapperA , MapperB, ReducerA and ReducerB.
Now you have following Driver code main method

public void main(String args[]){
JobConf jobA = new JobConf();
jobA.setMapperClaas(MapperA.class);
jobA.setReducerClas(ReducerA.class);
JobClient.runJob(jobA);

JobConf jobB = new JobConf();
jobB.setMapperClaas(MapperB.class);
jobB.setReducerClas(ReducerB.class);
JobClient.runJob(jobB);


}





1. In this case both jobA and jobB run in parallel

2. Both JobA and JobB can run in any Random order based on input data size

3. Access Mostly Uused Products by 50000+ Subscribers

4. JobB will be completed first and then JobA will be started


Correct Answer : Get Lastest Questions and Answer :
Explanation:









Question : Select correct statement regarding JobChaining


1. ChainMapper and ChainReducer to chain successive mapper or Successive reducers

2. It perform better because, data transfer is done using memory instead of Disk

3. Access Mostly Uused Products by 50000+ Subscribers

4. 1,2

5. 1,2,3

Correct Answer : Get Lastest Questions and Answer :
Explanation:




Question : Please keep below statements in their execution order
A. One or more mappers
B. Shuffle phase
C. Exactly one reducer
D. Zero or more mappers

1. A,B,C,D

2. B,D,C,A

3. Access Mostly Uused Products by 50000+ Subscribers
4. D,A,C,B
5. B,C,D,A

Correct Answer : Get Lastest Questions and Answer :
Explanation:

Related Questions

---

Question : Select correct statements regarding ExpressLane features of MapR
A. It allows small jobs to be executed before large jobs
B. ExpressLane feature reserves one or more map or reduce slots on each task tracker
C. If there is no slot available to run small job, it will be executed on "ephemeral slots"
D. It requires to use fair scheduler
E. If Small job is running on ephemeral slots and found to violet the definition of "small" , then job will be killed and re-scheduled as a normal job.

1. A,B,C
2. C,D,E
3. Access Mostly Uused Products by 50000+ Subscribers
4. A,B,E
5. A,B,C,D,E


Question : MapR Local volume is



1. Replicated across the cluster node. Hence, it never fills up.

2. never replicated across the nodes

3. Access Mostly Uused Products by 50000+ Subscribers

4. 1,3

5. 2,3



Question : How will MapR make sure, that maximum local volume is available for direct shuffle?



1. It reserve few nodes in the cluster and don t store or replicate data on these nodes

2. If there is more space required it delete the data replicated on this node and deleted data will be replicated on another node in cluster

3. Access Mostly Uused Products by 50000+ Subscribers

4. Extra hard disks will be attached few selected nodes in the cluster than average storage size of entire cluster.



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


1. B,C,A,D,E
2. A,B,C,D,E
3. Access Mostly Uused Products by 50000+ Subscribers
4. E,D,A,B,C
5. C,A,B,E,D


Question : 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)

3. Access Mostly Uused Products by 50000+ Subscribers

4. All above will give same performance.


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

1. A,B,C
2. B,C,D
3. Access Mostly Uused Products by 50000+ Subscribers
4. C,D
5. A,B,C,D