1)Spark Streaming e2e projects 2)Spark , bucketing and partitioning syntax 3)Data skweness, how to handle it in spark, explain different ways. 4)Kafka rebalancing issues, how you handled it 5)Kafka what kind of issues you faced and how you handled it 6)how you compared data whatever you are fetching from other sources. 7)Sources and destinations of your data in current project. 8)Internal Joins: Shuffle join,broadcast join, hash join 9)optimization technique in spark.
The questions from the recruiter were mainly behavioral, salary expectations and etc.
in depth technical questions and programs in technical skill sets.
-Basic to intermediate level questions from Python - Asked to write python code for a given problem statement
Aptitude related questions, code solving
What is difference between states n props, lifecycle methods Of react components,what is reducer,why to use midlewaresin redux, principles of redux
About experience and expected profile etc
While Interview process only got to know how much struggle would be there In terms of technology, wok and Work life balance
why java is robust/secure?
What are the advantages of ruby on rails?
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