Top 100 PySpark Interview Questions & Answers (2025 Edition) – Real-Time Scenarios for 3+ Years Experience

Description

Crack your next PySpark interview in 2025 with confidence!

This comprehensive guide contains the Top 100 PySpark Interview Questions and Answers, carefully designed for professionals with 3+ years of experience + Freshers. Unlike generic theory dumps, this pack focuses on real-world scenarios you’ll actually face in interviews and on the job.

✅ What’s Inside

• Scenario-Based Questions: Covers PySpark DataFrames, RDDs, Joins, Partitions, Window Functions, UDFs, Performance Tuning, Spark Streaming, Delta Lake, CDC, AQE, File Formats, Governance, and more.
• Practical Code Examples: Each answer includes PySpark code snippets you can directly reuse.
• Interview-Style Format:
  • What they asked me → Real interviewer questions
  • What I said → Concise, outcome-driven answers with examples
  • Tips → Insider tricks to make your answers stand out
• Covers Batch + Streaming with real-time use cases (Kafka, Watermarking, Exactly-once, foreachBatch, etc.).
• Latest Spark 3.x & Delta Features (Adaptive Query Execution, Dynamic Partition Pruning, Z-ordering, ANSI SQL mode).

💡 Perfect for:

• Data Engineers / Big Data Developers with 3–8 YOE preparing for interviews at top product & service companies
• Professionals switching from SQL/ETL to PySpark-based roles
• Engineers who want to master performance tuning, optimization, and lakehouse patterns

By the end of this prep kit, you’ll be able to confidently explain what you did, how you solved it, and why it mattered—the key to nailing mid/senior-level interviews.