A county revenue office wants to cut over a new parcel-scoring batch endpoint safely. What progressive practice should they use?

Validating a canary file of parcels, then blue/green swapping the batch job definitions is correct because county revenue cutovers must prove the new parcel-scoring batch path on a controlled subset before touching the full inventory. Canary scoring surfaces schema, transformation, and score-distribution problems early; a blue/green style swap of batch job definitions then moves production traffic (or schedule) to the new definition while preserving the prior definition as an immediate rollback. That progressive practice matches municipal risk posture for fiscal and parcel data.

Overwriting production job definitions with an untested notebook export fails because notebooks are not validated batch contracts and can introduce silent scoring errors across the county. Deleting the prior batch definition before any sample scoring completes fails rollback readiness—once the old job is gone, recovery becomes rebuild-from-memory under pressure. Routing all county parcels through the new job on day one with no checks fails progressive rollout: a single bad definition poisons the entire parcel score run with no rehearsal.

Exam caveat: progressive batch rollout language (canary, blue/green, validate then swap) beats big-bang overwrite. Prefer answers that keep a rollback path and prove a sample first.

Operational check: score a representative canary parcel file with the candidate job, compare score distributions and failure rates to the baseline, swap job definitions only after sign-off, and verify the prior definition remains available for immediate reversion if countywide metrics regress.