Top 10 Apache Spark interview Questions & Answers | Explained with Diagrams | Data Engineering

Top 10 Apache Spark interview Questions & Answers | Explained with Diagrams | Data Engineering

Prepared for a Spark or Data Engineering interview ? In this video, I cover 10 commonly asked Apache Spark questions with clear explanations and diagrams to help you understand the concepts rather than just memorize answers.

Topics/Issues covered :
1. Excessive Shuffling✅
2. Skewed data✅
3. Slow joins✅
4. Small File Problem✅
5. Cache Misuse✅
6. Driver OOM ✅
7. Executor OOM✅
8. Poor File Format choice✅
9. Wrong Partition Strategy✅
10. Too Many Wide Partitions✅

🕛 Chapters :
00:00 Introduction
00:25 Real Project production Issue
01:58 Excessive Shuffling
02:47 Skewed data
03:42 Slow joins
05:47 Small File Problem
07:06 Driver OOM
08:11 Executor OOM
09:53 Cache Misuse
11:28 Poor File Format choice
13:00 Wrong Partition Strategy
13:59 Too Many Wide Partitions
16:23 Production Issue debugging strategy
17:00 Summary

Whether you're a Data Engineer, Big Data Developer, or preparing for Spark Interviews, this video will help you Strengthen your fundamentals.

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