How would you design safe, automatic schema evolution in CI?
Tests whether you separate schema evolution from semantic validation. Strong answer: versioned data contracts allowing additive enums, unknown-category model buckets, and automated contract negotiation. Red flag: manual allow-lists or disabling validation.
Tests whether you treat schema evolution as a first-class concern rather than a pipeline failure. A strong answer covers four layers: first, a versioned schema registry with backward-compatible contracts that auto-approve additive enums; second, unknown category buckets preventing serving crashes; third, CI validates against the contract not a static snapshot; fourth, automated retraining when new categories exceed a frequency threshold. Red flag: manual ticketing for every new category or confusing schema changes with data corruption.
Read the original → mlops.community
- #mlops
- #data contracts
- #schema evolution
- #ci/cd
- #machine learning
Get five bites like this every day.
Tezvyn delivers a daily feed of 60-second tech bites with quizzes to lock in what you learn.