The skill test included some low level data structure & algorithm questions. They were not very hard but unfortunately I was not at my best at the second interview (also did not feel so good health wise)
Big Data Intern Interview Questions
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Solve some logic problem in a limited time.
--Round 1 Questions on Resume --Round 2 1. why hive column should not be added like alter table 2. what are narrow transformations 3. what are stages and what are types of stages? 4. Default how many stages in job 5. deploy the code in production 6. comparision of oozie and jeninks 7. Can you connect spark sql to RDBMS 8. spark and yarn architecture 9.Word count in file using accumulator 10.SQL question using analytical function ---Round 3 1.what is Object 2.what is inheritance 3.what is polymorphisim 4.How to read a binary file, like zip, gzip 5.How to read all files in zipped file 6.How to get filelist from hadoop location in spark 7.How to read a file of different size effecienty files are 1MB, 16MB, etc.. 8.How to create a dataframe of Map type 9.What is broadcast, accumulator 10.What is cache and repartition 11.Difference between cache and broadcast
mainly talked about the projects I did. Then he proceeded to ask me the basics of machine learning algorithms. The questions are extremely textbook-like.
Présentez-vous ?
Working of string in python.
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More on java spark and hive if you able to make the concept clear to them there is a chance and the two person took my interview both with good knowledge of same. Overall simple process and they are very co-operate.
Normal Hadoop , Hive and AWS questions
question on spark architecture, performance optimization, cluster resource management. some question on scala, aws , bdd framework etc.
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