A municipal ice-rink crew wants to turn on a compressor-fault model for live alarms this weekend. They have not yet collected a held-out test week of plant logs, and some teammates say deploy first and gather data later. Which sequence should they follow?
Select an answer to reveal the explanation.
Short Explanation
Think of tasting the soup before you serve it, not putting it on the table first. Collect, train, evaluate on a held-out week, then deploy, then watch it. Alarms this weekend with no test logs is serving raw.
Full Explanation
A sensible lifecycle is collect and prepare data, train, evaluate on held-out examples, deploy, then monitor. Deploying first skips the evidence that the model works on unseen logs. Monitoring before any data exists has nothing reliable to watch. Training and deploying in one step, with optional monitoring, leaves faults undiagnosed after go-live.