There is a command group 'az_ml_data'. This group of commands could 'manage azure ml data assets'. The group of commands has global parameter '--debug' which means 'Increase logging verbosity to show all debug logs.'. The group of commands has global parameter '--help -h' which means 'Show this help message and exit.'. The group of commands has global parameter '--only-show-errors' which means 'Only show errors, suppressing warnings.'. The group of commands has global parameter '--output -o' which means 'Output format.'. The group of commands has global parameter '--query' which means 'JMESPath query string. See <a href="http://jmespath.org/">http://jmespath.org/</a> for more information and examples.'. The group of commands has global parameter '--subscription' which means 'Name or ID of subscription. You can configure the default subscription using `az account set -s NAME_OR_ID`.'. The group of commands has global parameter '--verbose' which means 'Increase logging verbosity. Use --debug for full debug logs.'. This group contains a child command 'az_ml_data_archive'.The syntax is: az ml data archive --name
                   [--label]
                   [--resource-group]
                   [--version]
                   [--workspace-name]. The 1th example of the child command would be to use it to 'archive an data asset container  archives all versions of that data asset', the syntax is: az ml data archive --name my-env --resource-group my-resource-group --workspace-name my-workspace. The 2th example of the child command would be to use it to 'archive a specific data asset version', the syntax is: az ml data archive --name my-env --version 1 --resource-group my-resource-group --workspace-name my-workspace. The parameter '--name -n' is required. It is used to name of the data asset.. The parameter '--label -l' is optional. label of the data asset. mutually exclusive with version.. The parameter '--resource-group -g' is optional. name of resource group. you can configure the default group using `az configure --defaults group=<name>`.. The parameter '--version -v' is optional. version of the data asset. mutually exclusive with label.. The parameter '--workspace-name -w' is optional. name of the azure ml workspace. you can configure the default workspace using `az configure --defaults workspace=<name>`.. 