Your question is Debugging Spark OOM Errors. 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 handle and debug out-of-memory (OOM) errors in a distributed Spark cluster?
Explain a practical, systematic approach covering driver and executor memory, garbage collection, data skew, broadcast joins, shuffle spill, partition sizing, and Spark configuration. Include the diagnostic evidence you would collect, code or configuration changes you would test, and how you would validate the fix without masking data-quality or performance problems.