A production alias points at a model whose artifact bucket object was deleted. How do you prevent and recover?
PICTURE THIS: DATA SPLIT
Fit on train, tune on val, report on test once.
Simple meaning
Prevention is immutability, object lock, and tying registry GC to a retention policy that never deletes a version still aliased.
WHY — Model Registry instead of guessing?
Why interviewers care about Model Registry:
people who only read docs from people who shipped.
and tied to MLOps work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Prevention is immutability, object
lock, and tying registry GC to a retention policy that never deletes a version still aliased.
- 2Recovery is restoring from
backup or retraining from lineage if weights are gone, then verifying checksums before serving.
- 3I would page on
alias resolution failures, not wait for 404s in the API.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Prevention is immutability, object lock, and tying registry GC to a retention policy that never deletes a version still aliased. Recovery is restoring from backup or retraining from lineage if weights are gone, then verifying checksums before serving.