A clock-tower chime predictor was swapped overnight. Four desks report four different pains: the kiosk dies on first request; the live hit-rate is worse; the new model disagrees with last week’s on the same rows; last winter’s accepted layouts now fail. How should those four update risks be matched?
Select an answer to reveal the explanation.
Short Explanation
Four desks, four pains after an overnight swap: the kiosk dies on first request (smoke), the live hit-rate is worse (A/B), the new model disagrees with last week’s on the same rows (back-to-back), and last winter’s accepted layouts now fail (regression). Collapsing all four into smoke, Chapter 7 canaries, or documentation reviews misses those four update risks.
Full Explanation
Distinguish smoke, A/B, back-to-back, and regression testing after a model update. Collapsing all four into smoke, Chapter 7 canary, or documentation review misses those four risks.