Welcome to your interview.
The question is on your right: Cleaning Missing Values 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 working on a data pipeline and notice that some fields are missing in the incoming dataset. Before the data is used downstream, you need a clear approach for cleaning it in a way that is consistent and traceable.
Given a dataset with missing values, how would you approach cleaning it?