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๐—ฃ๐—ช๐—– ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—˜๐˜…๐—ฝ๐—ฒ๐—ฟ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ (๐——๐—ฎ๐˜๐—ฎ ๐„๐ง๐ ๐ข๐ง๐ž๐ž๐ซ) โญโ†’

The whole interview process had 3 rounds of 1 hour each.

๐Ÿ”ธ The first round was an extensive discussion about the projects I was handling and a few coding questions on SQL & Python.

There were questions like the following:
โ†’ Optimisation techniques used in projects; Issues faced in the project; Hadoop questions.

๐Ÿ”ธ After clearing this round, I moved on to the next round, which was a Case-Study based round.

I was asked scenario-based questions & the interviewer asked multiple questions on Spark, like:
โ†’ Spark job process; Optimizations of spark; Sqoop interview questions.

After this, I was asked a few Coding questions & SQL coding questions, which I successfully answered.

๐Ÿ”ธ Lastly, there was a Managerial Round where I was asked a lot of technical and advanced questions like:
โ†’ Architecture of spark, hive, Hadoop; Overview of MapReduce job process; Joins to use in spark; Broadcast join & lastly Different joins available.
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