Deliotte Hadoop and Spark Interview Questions

Round 1:

1. Explain about your previous Project?

2. Write the Apache Sqoop code that you are using in your previous project?

3. What is the reason for moving data from DBMS to Hadoop Environment?

4. What happens when you increase mappers in MapReduce?

5. What is the command to check the last value of Apache Sqoop job?

6. Can you explain Distributed Cache?

7. Explain about Hive optimization techniques in your project?

8. Which Hive analytic functions you used in the project?

9. How to update records in Hive table in a single command?

10. How to limit the records when you are consuming the data in Hive table?

11. How to change the Hive engine to Apache Spark engine?

12.Difference between Parquet and ORC file format?

13. How to handle huge data flow situation in your project?

14. Explain about Apache Kafka with architecture?

15. Which tool will create partitions in the Apache Kafka topic?

16. Which transformation and actions are used in your project?

17. Explain a brief idea about Spark Architecture?

18. How will check if data is there or not in the 6th partition in RDD?

19. How do you debug in Spark code in Regex?

20. Give me the idea about a functional programming language?

21.Difference between Map Vs Flat Map in Spark?

22. For example, Spark word count while splitting which one do you use? what happens if you use map instead of flatMap in that program?

23. If you have knowledge on Hadoop Cluster then will you explain about capacity planning for four node cluster?


1. Define YARN and MapReduce Architecture?

2. Explain Zookeeper functionalities and give how the flow when the node is down?

3. Explain Data modeling in your project?

4. In your project, reporting tools are used? if you yes then explain it?

5. Give me a brief idea about Broadcast variables in Apache Spark?

6. Can you explain about Agile methodology and give me architecture of Agile?

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