Based on my understanding, inventory turns is a good way to evaluate the performance of material control functions, so I'll go with A for this question.
Okay, I think I've got a strategy for this. Since the other features for the 0 age records look normal, I'd probably start by replacing those values with the median age from the rest of the dataset. That way, I'm not completely removing that data, but I'm also not letting the 0 values skew the model. Seems like the safest approach to me.
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