There is a command group 'az_ml_batch endpoint'. This group of commands could 'manage azure ml batch endpoints'. 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_batch endpoint_update'.The syntax is: az ml batch-endpoint update --resource-group
                            --workspace-name
                            [--add]
                            [--defaults]
                            [--file]
                            [--force-string]
                            [--name]
                            [--no-wait]
                            [--remove]
                            [--set]. The 1th example of the child command would be to use it to 'update an endpoint from a yaml specification file', the syntax is: az ml batch-endpoint update --name my-batch-endpoint --file updated_endpoint.yml --resource-group my-resource-group --workspace-name my-workspace. The 2th example of the child command would be to use it to 'add a new deployment to an existing endpoint', the syntax is: az ml batch-endpoint update --name my-batch-endpoint  --set defaults.deployment_name=depname  --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 '--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 '--defaults' is optional. update deployment_name inside defaults settings for endpoint invoke.. The parameter '--file -f' is optional. local path to the yaml file containing the azure ml batch-endpoint specification. the yaml reference docs for batch-endpoint can be found at: https://aka.ms/ml-cli-v2-endpoint-batch-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 '--name -n' is optional. name of the batch endpoint.. The parameter '--no-wait' is optional. do not wait for the long-running-operation to finish. default is false.. 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>`.. 