There is a command group 'az_ml_online endpoint'. This group of commands could 'manage azure ml online 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_online endpoint_create'.The syntax is: az ml online-endpoint create --resource-group
                             --workspace-name
                             [--auth-mode]
                             [--file]
                             [--local {false, true}]
                             [--name]
                             [--no-wait]
                             [--set]
                             [--web]. The 1th example of the child command would be to use it to 'create an endpoint from a yaml specification file', the syntax is: az ml online-endpoint create --file endpoint.yml --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 '--auth-mode' is optional. authentication method for the endpoint. allowed values: key, aml_token. default: key.. The parameter '--file -f' is optional. local path to the yaml file containing the azure ml online-endpoint specification. the yaml reference docs for online-endpoint can be found at: https://aka.ms/ml-cli-v2-endpoint-online-yaml-reference.. The parameter '--local' is optional. create endpoint locally. note: traffic and auth is not supported locally. you can use 'az ml online-deployment create --local' directly. it will create an endpoint if one doesn't exist.. The parameter '--name -n' is optional. name of the online endpoint.. The parameter '--no-wait' is optional. do not wait for the long-running-operation to finish. default is false.. The parameter '--set' is optional. update an object by specifying a property path and value to set. example: --set property1.property2=<value>.. The parameter '--web -e' is optional. show the endpoint's details in azure ml studio in a web browser.. 