Prioritize Spark optimizations by impact and effort. Discuss partitioning strategy, caching policy, join selection, shuffle reduction, and when each becomes a scalability or cost bottleneck.
Spark/Big Datahard
2
Walk through the three AQE features in Spark 3.x (coalesce, join switch, skew join)—how they operate at shuffle boundaries, which configs enable them, and what happens when AQE cannot help.
Spark/Big Datahard
3
Designing backend architecture for SQL Warehouse?
SQLhard
4
Motivation for Joining Snowflake?
SQLhard
5
Snowflake Tech Stack: Deployment on Azure, cluster sizing considerations, and overall data warehouse design?
SQLhard
6
Cache vs. Persistent storage in Spark?
Spark/Big Datahard
7
Logical Plan workflow when submitting Spark queries?
Spark/Big Datahard
8
High-level ETL Pipeline Design using tools like Kafka or Flink for new use cases?
System Design/Architecturehard
+10 More Questions with Expert Answers
Get the complete 1,800+ question library with detailed, expert-level answers covering SQL, Spark, System Design, Python, Cloud, and Behavioral topics.