def METHOD_NAME(resource_group_name: Optional[str] = None,
                                         workspace_name: Optional[str] = None,
                                         opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListWorkspaceNotebookAccessTokenResult:
    """
    Use this data source to access information about an existing resource.
    :param str resource_group_name: The name of the resource group. The name is case insensitive.
    :param str workspace_name: Name of Azure Machine Learning workspace.
    """
    __args__ = dict()
    __args__['resourceGroupName'] = resource_group_name
    __args__['workspaceName'] = workspace_name
    opts = pulumi.InvokeOptions.merge(_utilities.get_invoke_opts_defaults(), opts)
    __ret__ = pulumi.runtime.invoke('azure-native:machinelearningservices/v20230601preview:listWorkspaceNotebookAccessToken', __args__, opts=opts, typ=ListWorkspaceNotebookAccessTokenResult).value
    return AwaitableListWorkspaceNotebookAccessTokenResult(
        access_token=pulumi.get(__ret__, 'access_token'),
        expires_in=pulumi.get(__ret__, 'expires_in'),
        host_name=pulumi.get(__ret__, 'host_name'),
        notebook_resource_id=pulumi.get(__ret__, 'notebook_resource_id'),
        public_dns=pulumi.get(__ret__, 'public_dns'),
        refresh_token=pulumi.get(__ret__, 'refresh_token'),
        scope=pulumi.get(__ret__, 'scope'),
        token_type=pulumi.get(__ret__, 'token_type'))