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

Question :

What are supported programming language for Hadoop



1. Java and Scripting Language
2. Any Programming Language
3. Only Java
4. C , Cobol and Java



Correct Answer : Get Lastest Questions and Answer :

Most of the scripting languages like php, python, perl, ruby bash is good.
Any language able to read from stdin, write to sdtout and parse tab and new line characters will work:
Hadoop Streaming just pipes the string representations of key value pairs as concatenated with a tab
to an arbitrary program that must be executable on each task tracker node.

And Java is obviously true.

Heart Beat of child nodes will not be sent to the parent nodes when we are using scripting languages





Question :

How does Hadoop process large volumes of data?



1. Hadoop uses a lot of machines in parallel. This optimizes data processing.
2. Hadoop was specifically designed to process large amount of data by taking advantage of MPP hardware
3. Hadoop ships the code to the data instead of sending the data to the code
4. Hadoop uses sophisticated cacheing techniques on namenode to speed processing of data



Correct Answer : Get Lastest Questions and Answer :

The basic design principles of Hadoop is to eliminate the data copying between different datanodes

Refer HadoopExam.com Recorded Training Module : 2 and 3





Question :

What are sequence files and why are they important?



1. Sequence files are binary format files that are compressed and are splitable.
They are often used in high-performance map-reduce jobs
2. Sequence files are a type of the file in the Hadoop framework that allow data to be sorted
3. Sequence files are intermediate files that are created by Hadoop after the map step
4. All of above

Correct Answer : Get Lastest Questions and Answer :


Explanation: Hadoop is able to split data between different nodes gracefully while keeping data compressed.
The sequence files have special markers that allow data to be split across entire cluster

The sequence file format supported by Hadoop breaks a file into blocks and then optionally compresses the blocks in a splittable way

It is also worth noting that, internally, the temporary outputs of maps are stored using SequenceFile.
The SequenceFile provides a Writer, Reader and Sorter classes for writing, reading and sorting respectively.

Refer HadoopExam.com Recorded Training Module : 7

Related Questions

---

Question : Which Daemons control the Hadoop Mapreduce Job

1. TaskTracker
2. NameNode
3. Access Mostly Uused Products by 50000+ Subscribers
4. JobTracker




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
3. Access Mostly Uused Products by 50000+ Subscribers
4. 1,3,2,4,5


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
3. Access Mostly Uused Products by 50000+ Subscribers
4. None of the above
Solution : 48



Question :

If a Task attempts is fail then JobTracker will wait to finish all the task and retry the failed task

1. true
2. false


Question :

Mapper outputs zero or more key value pairs ?

1. True
2. False


Question : Which statement is correct for the Hadoop framework



1. Hadoop attempts that Mappers run on node which hold their portio of data locally.
2. Multiple Mappers run parallely
3. Access Mostly Uused Products by 50000+ Subscribers
4. 1 and 2 are correct
5. 1,2 and 3 are correct