Top 15 Tips to Crack an Interview for Hadoop Professionals

Jul 11


vaishnavi Agrawal

vaishnavi Agrawal

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Big data biggest tool... Hadoop runs in today's scenario and having concepts of Linux and Java. Student wants to learn and fight for the job. Then they should learn these interview question.



Hadoop is an open-source framework which allows the user to store and process the big data in a distributed environment across the clusters of computers by using simple programming models. It is basically designed to scale up from one single server to thousands of machines,Top 15 Tips to Crack an Interview for Hadoop Professionals Articles and each machine offers local computation and storage.


With the approach of new technologies, devices, and communication means such as social networking sites, the amount of data which is produced by mankind is growing rapidly each year.

The amount of data which is produced by us from the beginning of time till now was 5 billion gigabytes.


 Hadoop Professionals


Hadoop is a constantly changing field so it requires the people to quickly upgrade their skills, in order to get fit according to the requirements for Hadoop related jobs.


If you are applying for a Hadoop job professional job, these the tips which are being discussed in this will help you to crack the interview.


Top 15 tips to Track an Interview for Hadoop Professionals are:

  • Knowledge

There are many complex theories, principles, programming languages, design styles and prototypes in Hadoop and you will only perform that function if you know about Hadoop.

You need to take a training of at least 1-3 months and must learn the basics of Hadoop, as the company will love to have you if you know at least the basic foundations of it.

  • Application

Only getting knowledge about Hadoop is not enough. To know something, is not enough, as a Hadoop developer you must need to perform the tasks and which completely applied to Hadoop knowledge.

Knowledge is a pre-requisite thing, you only need to know how and where to apply it. You will get software from the Internet which allows you to use its trial versions and practice there.

  • Communication

Most of the software and the Hadoop developers ignores communication. They feel that being an expertise in Hadoop is a huge task and only few can do it and that too at the optimum level. So, they feel satisfied with the knowledge and ignore the need to communicate well. Be honest and observe your communication skill.

  • Know your domain

Pick up your domain in which you like to work and do a research. How the things work in the domain, is the main key-success-factors in the domain, it plays the major roles and what will be your role in it is the key questions which you should ask yourself while searching.

  • Future trends

Technology changes so fast, and nowadays Hadoop is one of the hottest topics in the programming industry. Every industry or domain needs one or more Hadoop developers. So, it is important to know where the industry is going, what future might come up and thus make other technology obsolete.

  • During the interview

After clearing the written test, it is important for you to know the basics of programming for the interview, as interviewers ask basic programming skill.

  • Aptitude and logical reasoning

Aptitude test is the first hurdles which are necessary for you to cross to for getting into next level.

  • Practice to answer the basic question, which includes:
  1. What is Big Data?
  2. What do the four V’s of Big Data denote?
  3. How big data analysis helps businesses increase their revenue? Give example.
  4. Name some companies that use Hadoop.
  5. Differentiate between Structured and Unstructured data.
  6. On what concept the Hadoop framework works?
  7. What are the main components of a Hadoop Application?
  8. What is Hadoop streaming?
  9. What is the best hardware configuration to run Hadoop?
  10. What are the most commonly defined input formats in Hadoop?
  11. What is a block and block scanner in HDFS?
  12. Explain the difference between NameNode, Backup Node, and Checkpoint NameNode.
  13. What is commodity hardware?
  14. What is the port number for NameNode, Task Tracker, and Job Tracker?
  15. Explain the process of inter-cluster data copying.
  16. How can you overwrite the replication factors in HDFS?
  17. Explain the difference between NAS and HDFS.
  18. Explain what happens if, during the PUT operation, HDFS block is assigned a replication factor 1 instead of the default value
  19. What is the process to change the files at arbitrary locations in HDFS?
  20. Explain about the indexing process in HDFS.
  21. What is a rack awareness and on what basis is data stored in a rack?