i) Spark architecture ii) Difference between RDDs, DataFrames and Datasets iii) What is fault tolerance and how does spark handle it iv) Memory management and garbage collection in Spark v) One SparkSQL based question vi) One PySpark based question vii) ETL implementation in AWS Glue
kafka, zookeper, spark, kerberos, CDP, hive
what is RDBM? what is query ?
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.
how much CTC you are currently having how much percent of hike you are getting
Tell me about yourself? What you want to do in future?
some SQL problem that examined knowledge about the JOIN function
Explain the specific challenges or obstacles you faced. Action: Detail the steps you took to address the challenge. Highlight your critical thinking, technical skills, and any tools or methodologies you used.
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.
How do you see yourself in 10 years?
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