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_list materialization status'.The syntax is: az ml data list-materialization-status --resource-group
                                       --workspace-name
                                       [--all-results {false, true}]
                                       [--archived-only]
                                       [--include-archived]
                                       [--max-results]
                                       [--name]. The 1th example of the child command would be to use it to 'show materialization status of a data asset from a yaml specification file', the syntax is: az ml data list-materialization-status --name asset-name --resource-group my-resource-group --workspace-name my-workspace. The parameter '--resource-group -g' is required. It is used to name of resource group. you can configure the default group using `az configure --defaults group=<name>`.. The parameter '--workspace-name -w' is required. It is used to name of the azure ml workspace. you can configure the default workspace using `az configure --defaults workspace=<name>`.. The parameter '--all-results' is optional. returns all results.. The parameter '--archived-only' is optional. list archived jobs only.. The parameter '--include-archived' is optional. list archived jobs and active jobs.. The parameter '--max-results -r' is optional. max number of results to return. default is 50.. The parameter '--name -p' is optional. name of the asset. will list all materialization jobs that create versions of the asset matching the given name.. 