Interesting discussion! Handling Spark transformations inside try-except blocks can be tricky because of Spark’s lazy evaluation and when errors are actually triggered. Clear explanations of these behaviors are especially helpful for developers troubleshooting data pipelines and improving error handling. For a quick choice between two approaches, Münze werfen can be a simple and fun way to decide.