Instruction: Explain your strategy for ensuring that ML models are thoroughly validated and tested before deployment.
Context: This question is designed to assess the candidate's understanding of model validation and testing methodologies within the MLOps framework.
Official answer available
Preview the opening of the answer, then unlock the full walkthrough.
The way I'd approach it in an interview is this: I approach validation as a staged process: offline performance checks, slice analysis, robustness checks, business-metric review, and then controlled production exposure through shadow mode, canaries, or experiments. Validation...