There is a command group 'az_ml_job'. This group of commands could 'manage azure ml jobs'. 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_job_create'.The syntax is: az ml job create --file
                 --resource-group
                 --workspace-name
                 [--name]
                 [--save-as]
                 [--set]
                 [--skip-validation]
                 [--stream]
                 [--web]. The 1th example of the child command would be to use it to 'create a job from a yaml specification file', the syntax is: az ml job create --file job.yml --resource-group my-resource-group --workspace-name my-workspace. The 2th example of the child command would be to use it to 'create a job from a yaml specification file and open the job s run details in the azure ml studio portal', the syntax is: az ml job create --file job.yml --web --resource-group my-resource-group --workspace-name my-workspace. The parameter '--file -f' is required. It is used to local path to the yaml file containing the azure ml job specification. the yaml reference docs for job can be found at: https://aka.ms/ml-cli-v2-job-command-yaml-reference, https://aka.ms/ml-cli-v2-job-sweep-yaml-reference, https://aka.ms/ml-cli-v2-job-pipeline-yaml-reference.. 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 '--name -n' is optional. name of the job.. The parameter '--save-as -a' is optional. file to which the created job's state in yaml format will be written.. The parameter '--set' is optional. update an object by specifying a property path and value to set. example: --set property1.property2=<value>.. The parameter '--skip-validation' is optional. skip validation in creating the resource. note that dependent resources will not skip their validation in creating.. The parameter '--stream -s' is optional. indicates whether to stream the job's logs to the console.. The parameter '--web -e' is optional. show the job's run details in azure ml studio in a web browser.. 