Got issue fixed:The issue was with Private Endpoint: we had PE with dfs sub-resource only, but mlflow uses blob, so when I created PE with blob sub-resource - the issue was fixed. (also blob DNS zone and network link is needed)
Experiencing the same problem, when calling model_version_uri = "models:/catalog_name.schema_name.model_name/version"first_version = mlflow.pyfunc.load_model(model_version_uri)mlflow.store.artifact.cloud_artifact_repo: Failed to complete request, pos...
