Welcome to your interview.
The question is on your right: Handling Missing Data in Pipelines. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
You're building a training data pipeline and need a consistent way to deal with incomplete records before they reach downstream models. Some fields are optional, some are critical, and missing values can come from source gaps, late data, or parsing failures.
How would you handle missing data in a dataset?