There is a command group 'az_ml_workspace hub'. This group of commands could 'manage azure ml workspacehub'. 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_workspace hub_update'.The syntax is: az ml workspace-hub update --name
                           --resource-group
                           [--add]
                           [--description]
                           [--display-name]
                           [--file]
                           [--force-string]
                           [--managed-network]
                           [--no-wait]
                           [--primary-user-assigned-identity]
                           [--public-network-access]
                           [--remove]
                           [--set]
                           [--update-dependent-resources]. The 1th example of the child command would be to use it to 'update a workspacehub from a yaml specification file', the syntax is: az ml workspace-hub update --resource-group my-resource-group --name my-workspace-hub-name --file workspace-hub.yml. The parameter '--name -n' is required. It is used to name of the azure ml workspacehub. you can configure the default group using `az configure --defaults workspace=<name>`.. 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 '--add' is optional. add an object to a list of objects by specifying a path and key value pairs.  example: `--add property.listproperty <key=value, string or json string>`.. The parameter '--description' is optional. description of the azure ml workspacehub.. The parameter '--display-name' is optional. display name for the workspacehub.. The parameter '--file -f' is optional. local path to the yaml file containing the azure ml workspace-hub specification. the yaml reference docs for workspace-hub can be found at: https://aka.ms/ml-cli-v2-workspace-hub-entity-yaml-reference.. The parameter '--force-string' is optional. when using 'set' or 'add', preserve string literals instead of attempting to convert to json.. The parameter '--managed-network -m' is optional. managed network isolation mode for the workspacehub.. The parameter '--no-wait' is optional. do not wait for the long-running-operation to finish. default is false.. The parameter '--primary-user-assigned-identity -p' is optional. arm id of the primary user assigned identity associated with this workspacehub.. The parameter '--public-network-access' is optional. allow public endpoint connectivity when a workspacehub is private link enabled.. The parameter '--remove' is optional. remove a property or an element from a list.  example: `--remove property.list <indextoremove>` or `--remove propertytoremove`.. The parameter '--set' is optional. update an object by specifying a property path and value to set.  example: `--set property1.property2=<value>`.. The parameter '--update-dependent-resources -u' is optional. specifying --update_dependent_resources, gives your consent to update the workspace dependent resources. updating the workspace-attached azure container registry or application insights resource may break lineage of previous jobs, deployed inference endpoints, or your ability to rerun earlier jobs in this workspace.. 