Your question is Pivot After ML Failure. 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).
Describe a situation where your initial approach to a machine learning problem failed; how did you pivot? Explain what evidence showed that the approach was failing, how you diagnosed the underlying issue, and how you chose an alternative. Focus on your ownership, decision-making under uncertainty, collaboration with stakeholders, and the measurable result of the pivot.