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In general, the question-answer round does not involve a high level of Hadoop interview questions, but rather a trickier one which is far more objective than thought.

To be great in Hadoop, one must have to be literally a mastering writing Java. The only factor that separates Hadoop from spark is cost-effectiveness, and for a professional, with Hadoop's certification, the market offers a lot as it is still considered a niche skill.

All the Hadoop interviews that take place for a Hadoop developer focus more on the pragmatic side. That is the reason that the interviewer tends to indulge candidates more in competency mapping.

It is wise for a candidate not to take abrupt turns while you're answering, as the hiring authority focuses more on direct answers. Be crisp and clear with your responses!

Hadoop is not as fast as spark but is faster than the traditional system which is written in Java and follows batch processing in use.

This article is all about answering the most ask questions in the interview for a Hadoop developer.

what you will learn here:

1. Basic Hadoop Interview Questions and Answers - Set 1
2. Advanced Hadoop Interview Questions and Answers - Set 2
3. Hadoop Interview Questions and Answers for Experienced - Set 3

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