Apache Spark Interview Questions and Answers 2018 | Hadoop Interview Questions and Answers
Spark is third generation distributed data processing platform. It’s unified big data solution for all big data processing problems such as batch, interacting, streaming processing.So it can ease many big data problems.
Hello and welcome to Hadoop interview questions and answers tutorial powered by Acadgild. Here in this video, Sudhanshu Kumar, Data Scientist and one of the experienced mentor in the industry takes you through the top 20 interview questions in Apache Spark with answers which will help the aspiring data scientists or the data engineers to pass their interviews.
Top 20 Apache Interview Questions:
1. Why Spark?
2. What is Spark?
3. What is RDD?
4. What is SparkContext?
5. What are Partitions?
6. How does spark partition the data?
7. How does Spark store the data?
8. Is it mandatory to start Hadoop to run Spark application?
9. What are the components of the Spark Ecosystems?
10. What is Spark Core functionalities?
11. How Spark SQL is different from HQL and SQL?
12. When do we use Spark Streaming?
13. How does Spark Stream API works?
14. What is Spark MLlib?
15. What is GraphX?
16. What is File System API?
17. Why Partitions are immutable?
18. What is Transformation in Spark?
19. What is Action in Spark?
20. What is RDD Lineage?
Thank you for watching and happy learning!
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