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
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.
Write a programme to check two strings are annagram.
A lot of conceptual questions about when and why I would use certain tech. A lot of questions about past experience and why I done certain things in certain scenarios.
Sql queries
Architecture of project
questions about additional things to be taken care of moving my code into production and how design can be improved, test-driven and domain-driven development, Kafka, the difference between list and set, GraphQL, Graph Database,REST API and design considerations etc
Basics fundamentals of programming like C, Java, Oops etc.
A simple algorithm question which I don't remember
What is your experience with big data?
Viewing 1181 - 1190 interview questions