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_mount'.The syntax is: az ml data mount --path
                 [--mode]
                 [--mount-point]
                 [--persistent]
                 [--resource-group]
                 [--workspace-name]. The 1th example of the child command would be to use it to 'mount a data asset version with named asset uri', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path azureml:my_urifolder:1. The 2th example of the child command would be to use it to 'mount a data asset version with azureml full uri', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path azureml://subscriptions/my-sub-id/resourcegroups/my-rg/workspaces/myworkspace/data/some_data/versions/5. The 3th example of the child command would be to use it to 'mount all versions of a data asset with named asset uri', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path azureml:my_urifolder. The 4th example of the child command would be to use it to 'mount all versions of a data asset with azureml full uri', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path azureml://subscriptions/my-sub-id/resourcegroups/my-rg/workspaces/myworkspace/data/some_data. The 5th example of the child command would be to use it to 'mount data on public http s  server by url', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path https://raw.githubusercontent.com/pandas-dev/pandas/main/doc/data/titanic.csv. The 6th example of the child command would be to use it to 'mount data on azure by azure blob storage url', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path https://<account_name>.blob.core.windows.net/<container_name>/<path>. The 7th example of the child command would be to use it to 'mount data on azure by azure data lake storage gen 2 url', the syntax is: az ml data mount --mount-point /mnt/my-data --mode ro_mount --path abfss://<file_system>@<account_name>.dfs.core.windows.net/<path>. The parameter '--path' is required. It is used to the data asset path to mount, in the form of `azureml:<name>` or `azureml:<name>:<version>`.. The parameter '--mode' is optional. mount mode. only `ro_mount` (read-only) is supported for data asset mount.. The parameter '--mount-point' is optional. a local path used as mount point.. The parameter '--persistent' is optional. make mount persist across reboots. supported only on compute instance.. 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 '--workspace-name -w' is optional. name of the azure ml workspace. you can configure the default workspace using `az configure --defaults workspace=<name>`.. 