Promoting Models between environments

## What example? Describe it

example: Promoting Model between different Model registries
description: Example of moving a model and all its artifacts from 1 Azure ML workspace to another using either CLI or python sdk.

## Additional context

I'd like to be able to promote a model from one registry to another e.g. QA -> Staging, Staging -> Prod. This is something that I'd like to be able to do in an Azure DevOps pipeline, so either using the CLI, Python SDK or using MLFlow itself.
Is any of this supported, if so it would be great to provide an example.

Start by checking the Azure Machine Learning CLI, Python SDK, and MLflow options for moving a model and all its artifacts between registries or workspaces. An example is complete when it demonstrates promotion between QA, Staging, and Prod contexts and can be used from an Azure DevOps pipeline.

Written by the indexing model from the issue text.