Question
Which statement about Iterators, Generators, and yield is the strongest interview answer?
- Iterators, Generators, and yield is mostly a naming style choice and has little effect on runtime behavior or design tradeoffs.
- Iterators produce values one at a time, and generator functions use yield to suspend and resume that production lazily.
- Iterators, Generators, and yield exists mainly to reduce the number of files in a Python project.
- Iterators, Generators, and yield matters only for frontend scripting and not for backend or automation code.
Hint
Start with the core rule behind Iterators, Generators, and yield.
Answer and rationale
Correct answer: B. Iterators produce values one at a time, and generator functions use yield to suspend and resume that production lazily.
Iterators produce values one at a time, and generator functions use yield to suspend and resume that production lazily. This is the base concept interviewers commonly test first.
Track: Python