Your question is Narrow vs Wide Transformations. 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).
What are the differences between narrow and wide transformations in Spark, and when do they matter for HackerRank data processing?
Explain how parent-to-child partition dependencies affect execution stages, shuffles, fault recovery, and performance. Include examples of common transformations and describe one practical optimization for a wide transformation.