PySpark Prime: 50-Page Interview Guide with Suyog Patil

Prepare for PySpark interviews with PySpark Prime, a 50-page guide by Suyog Patil, covering beginner fundamentals through advanced data-engineering concepts.

What you get:

• 110 answered interview questions and practical follow-ups

• 23 diagrams explaining architecture, execution, shuffles, joins, skew and streaming

• Nine solved coding exercises with expected results and edge cases

• DataFrames, Spark SQL, window functions, query plans and performance tuning

• Partitioning, broadcast joins, AQE, caching, checkpointing and ETL

• Python UDFs, pandas UDFs, Arrow, Structured Streaming and Kafka concepts

• Production debugging, testing, scenario interviews and a final revision checklist

Technical baseline: PySpark 3.5.x, with selected Spark 4.x differences highlighted. Includes links to official Spark documentation.

Format: downloadable 50-page PDF. Ideal for aspiring and practising data engineers preparing for coding and concept interviews. This is a self-study guide, not a live session. Questions are representative practice material; interview outcomes depend on your preparation and experience.