Question
When should a Python developer choose Descriptors deliberately?
- Choose Descriptors mainly when you want to postpone validation and fix issues manually later.
- Choose Descriptors whenever you want the code to look more advanced, even if the design gets less clear.
- Use descriptor-level thinking when you need to explain how Python attribute lookup works or when a framework relies on managed attributes.
- Choose Descriptors only to avoid modeling the real data shape or domain contract explicitly.
Hint
Think about the production scenario where the choice genuinely improves the code.
Answer and rationale
Correct answer: C. Use descriptor-level thinking when you need to explain how Python attribute lookup works or when a framework relies on managed attributes.
Use descriptor-level thinking when you need to explain how Python attribute lookup works or when a framework relies on managed attributes. Interviewers often ask this to see whether you can connect the concept to real design decisions.
Track: Python