Which of the following lists all of the model stages are available in the MLflow Model Registry?
Which of the following lists all of the model stages are available in the MLflow Model Registry?
The MLflow Model Registry defines four stages for a model version: None, Staging, Production, and Archived. These stages are used to track the lifecycle of a model, from initial development (None) through testing (Staging) and deployment (Production), and finally to deprecation (Archived).
D. None, Staging, Production, Archived
A model version has one of the following stages: None, Staging, Production, or Archived. Doc: https://docs.databricks.com/en/machine-learning/manage-model-lifecycle/workspace-model-registry.html#transition-a-model-stage