def METHOD_NAME(connection_name: Optional[str] = None,
                                      resource_group_name: Optional[str] = None,
                                      workspace_name: Optional[str] = None,
                                      opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableListWorkspaceConnectionSecretsResult:
    """
    Use this data source to access information about an existing resource.
    :param str connection_name: Friendly name of the workspace connection
    :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__['connectionName'] = connection_name
    __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:listWorkspaceConnectionSecrets', __args__, opts=opts, typ=ListWorkspaceConnectionSecretsResult).value
    return AwaitableListWorkspaceConnectionSecretsResult(
        id=pulumi.get(__ret__, 'id'),
        name=pulumi.get(__ret__, 'name'),
        properties=pulumi.get(__ret__, 'properties'),
        system_data=pulumi.get(__ret__, 'system_data'),
        type=pulumi.get(__ret__, 'type'))