Last Minute PySpark Interview Prep Kit : Complete Revision in 2 Hours

Preparing for a PySpark or Data Engineering interview? In this video, we cover the most commonly asked PySpark interview questions that can help you revise key concepts quickly before your interview.

This video acts as a last minute revision kit covering important topics like Spark architecture, lazy evaluation, shuffle, partitions, transformations, joins, performance optimization, and many tricky questions that interviewers frequently ask.

If you are preparing for roles like Data Engineer, Big Data Engineer, or Spark Developer, these questions will help you strengthen your fundamentals and improve your chances of clearing interviews.

📌 Topics Covered
• What is Lazy Evaluation in Spark
• What is Shuffle in Spark
• Initial number of partitions in Spark DataFrame
• Narrow vs Wide Transformations
• Difference between repartition and coalesce
• Difference between cache and persist
• Broadcast joins in Spark
• Spark execution flow (Job → Stage → Task)
• Data skew and how to handle it

If you want to lean Spark more in depth check this out :
https://www.namastesql.com/course-detail/namaste-spark-bootcamp-zero-to-hero

Zero to hero(Advance) SQL Aggregation:
https://youtu.be/5Ighj_2PGV0

Most Asked Join Based Interview Question:
https://youtu.be/xR87ctOgpAE

Solving 4 Trick SQL problems:
https://youtu.be/Ck1gQrlS5pQ

Data Analyst Spotify Case Study:
https://youtu.be/-YdAIMjHZrM

Top 10 SQL interview Questions:
https://youtu.be/Iv9qBz-cyVA

Interview Question based on FULL OUTER JOIN:
https://youtu.be/KQfWd6V3IB8

Playlist to master SQL :
https://youtube.com/playlist?list=PLBTZqjSKn0IeKBQDjLmzisazhqQy4iGkb

Rank, Dense_Rank and Row_Number:
https://youtu.be/xMWEVFC4FOk

#spark #pyspark #dataengineer