What is training-serving skew and how do you prevent it?

Training-serving skew happens when features or preprocessing differ between training and production inference. Prevent it by: - Sharing feature code (feature store or libraries) - Versioning transforms - Validating feature distributions - Running end-to-end tests on sample requests Skew is a top cause of “great offline, bad in prod” failures.