Your question is Cleaning Missing Values in Pipelines. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
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?