Your question is PySpark Transformations and ETL. 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).
Describe a recent project where you used PySpark transformations end to end, including how you handled repartitioning, coalescing, explode, and broadcast joins.
Walk through the source and target DataFrame schemas, transformation sequence, partitioning decisions, join strategy, and validation approach. Include representative PySpark code and explain the performance and correctness trade-offs behind each operation.