Evaluate an ML feature launch
Company: Microsoft
Role: Technical Program Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: HR Screen
Suppose Azure IoT Edge is launching a machine-learning-based feature such as anomaly detection or predictive maintenance. How would you evaluate the model, design the sampling strategy, and decide whether the feature is ready to launch?
Quick Answer: This question evaluates skills in machine learning model evaluation, sampling strategy design, and launch-readiness decision-making for an IoT edge ML feature, testing competencies in model performance assessment, data representativeness, and product-level trade-offs within the Product / Decision Making domain.