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Deepen your understanding of Apache Spark with these essential caching, persisting, and storage-level questions. Ideal for interviews and for mastering Spark performance optimizations.
- What are the different storage levels supported in Spark? Briefly describe each one
- When would you choose MEMORY_AND_DISK over MEMORY_ONLY?
- What is caching in Spark?
- Why do we use caching and persisting in Spark?
- When should we avoid using caching?
- How can you uncache data in Spark?
- What is the difference between cache and persist?