Practical ML Techniques/Concepts

Answer each question before opening the reference answer. In the dataset question, explain what you would inspect before naming a model. In the debugging question, separate a model’s ability to generalize from a mismatch between training and serving features. In the latency question, state which product constraints would decide whether the offline gain is usable.

After comparing answers, identify one decision you left unexplained. Add the evidence you would need to make that decision: a data check, a comparison of feature values, or a serving measurement, depending on the question. Keep assumptions explicit so another person can follow your reasoning.