Your question is Optimize Storage Layout and Files. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you optimize storage layout, compaction, and file sizing for analytics workloads?
Explain how you would choose partitioning and clustering keys, select file formats and compression, manage small files, and schedule compaction without disrupting readers. Address workload-specific trade-offs, incremental and streaming writes, schema evolution, concurrent operations, backfills, and how you would validate performance and cost improvements. Include implementation details using a modern lakehouse stack, plus monitoring and rollback strategies.