An AI workflow is moved from test to production. Which deployment practice best supports safe release?

1. Publish all evaluation data without considering sensitivity
2. Version and validate deployment configuration, authorize the release, and monitor its production behavior
3. Assume successful provisioning proves task quality
4. Recreate production manually from memory