There is a command group 'az_ml v1 _endpoint_realtime'. This group of commands could 'manage operationalized realtime 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 v1 _endpoint_realtime_create version'.The syntax is: az ml endpoint realtime create-version --name
                                       --version-name
                                       [--add-property]
                                       [--add-tag]
                                       [--ar]
                                       [--as]
                                       [--at]
                                       [--autoscale-max-replicas]
                                       [--autoscale-min-replicas]
                                       [--cc]
                                       [--ccl]
                                       [--cf]
                                       [--collect-model-data]
                                       [--cvt]
                                       [--dc]
                                       [--description]
                                       [--ed]
                                       [--entry-script]
                                       [--environment-name]
                                       [--environment-version]
                                       [--failure-threshold]
                                       [--gb]
                                       [--gbl]
                                       [--gc]
                                       [--ic]
                                       [--id]
                                       [--is-default]
                                       [--max-request-wait-time]
                                       [--model]
                                       [--model-metadata-file]
                                       [--no-wait]
                                       [--nr]
                                       [--path]
                                       [--period-seconds]
                                       [--replica-max-concurrent-requests]
                                       [--resource-group]
                                       [--scoring-timeout-ms]
                                       [--sd]
                                       [--st]
                                       [--subscription-id]
                                       [--timeout-seconds]
                                       [--tp]
                                       [--workspace-name]
                                       [-v]. The parameter '--name -n' is required. It is used to the endpoint name.. The parameter '--version-name --vn' is required. It is used to the version name to create in an endpoint.. The parameter '--add-property' is optional. key/value property to add (e.g. key=value ). multiple properties can be specified with multiple --add-property options.. The parameter '--add-tag' is optional. key/value tag to add (e.g. key=value ). multiple tags can be specified with multiple --add-tag options.. The parameter '--ar --autoscale-refresh-seconds' is optional. how often the autoscaler should attempt to scale this webservice. defaults to 1.. The parameter '--as --autoscale-enabled' is optional. whether or not to enable autoscaling for this webservice. defaults to true if num_replicas is none.. The parameter '--at --autoscale-target-utilization' is optional. the target utilization (in percent out of 100) the autoscaler should attempt to maintain for this webservice. defaults to 70.. The parameter '--autoscale-max-replicas --ma' is optional. the maximum number of containers to use when autoscaling this webservice. defaults to 10.. The parameter '--autoscale-min-replicas --mi' is optional. the minimum number of containers to use when autoscaling this webservice. defaults to 1.. The parameter '--cc --cpu-cores' is optional. the number of cpu cores to allocate for this webservice. can be a decimal. defaults to 0.1.. The parameter '--ccl --cpu-cores-limit' is optional. the max number of cpu cores this webservice is allowed to use. can be a decimal.. The parameter '--cf --conda-file' is optional. path to local file containing a conda environment definition to use for the image.. The parameter '--collect-model-data --md' is optional. whether or not to enable model data collection for this webservice. defaults to false.. The parameter '--cvt --is-control-version-type' is optional. whether or not this is the control version in an endpoint. defaults to false.. The parameter '--dc --deploy-config-file' is optional. path to a json file containing deployment metadata.. The parameter '--description -d' is optional. description of the service.. The parameter '--ed --environment-directory' is optional. directory for azure machine learning environment for deployment. it is the same directory path as provided in 'az ml environment scaffold' command.. The parameter '--entry-script --es' is optional. path to local file that contains the code to run for service (relative path from source_directory if one is provided).. The parameter '--environment-name -e' is optional. name of azure machine learning environment for deployment.. The parameter '--environment-version --ev' is optional. version of an existing azure machine learning environment for deployment.. The parameter '--failure-threshold --ft' is optional. when a pod starts and the liveness probe fails, kubernetes will try --failure-threshold times before giving up. defaults to 3. minimum value is 1.. The parameter '--gb --memory-gb' is optional. the amount of memory (in gb) to allocate for this webservice. can be a decimal.. The parameter '--gbl --memory-gb-limit' is optional. the max amount of memory (in gb) this webservice is allowed to use. can be a decimal.. The parameter '--gc --gpu-cores' is optional. the number of gpu cores to allocate for this webservice. default is 1.. The parameter '--ic --inference-config-file' is optional. path to a json or yaml file containing inference configuration.. The parameter '--id --initial-delay-seconds' is optional. number of seconds after the container has started before liveness probes are initiated. defaults to 310.. The parameter '--is-default' is optional. whether or not this is the default version in an endpoint. defaults to false.. The parameter '--max-request-wait-time --mr' is optional. the maximum amount of time a request will stay in the queue (in milliseconds) before returning a 503 error. defaults to 500.. The parameter '--model -m' is optional. the id of the model to be deployed. multiple models can be specified with additional -m arguments. models need to be registered first.. The parameter '--model-metadata-file -f' is optional. path to a json file containing model registration metadata. multiple models can be provided using multiple -f parameters.. The parameter '--no-wait' is optional. flag to not wait for asynchronous calls.. The parameter '--nr --num-replicas' is optional. the number of containers to allocate for this webservice. no default, if this parameter is not set then the autoscaler is enabled by default.. The parameter '--path' is optional. path to a project folder. default: current directory.. The parameter '--period-seconds --ps' is optional. how often (in seconds) to perform the liveness probe. default to 10 seconds. minimum value is 1.. The parameter '--replica-max-concurrent-requests --rm' is optional. the number of maximum concurrent requests per node to allow for this webservice. defaults to 1.. The parameter '--resource-group -g' is optional. resource group corresponding to the provided workspace.. The parameter '--scoring-timeout-ms --tm' is optional. a timeout to enforce for scoring calls to this webservice. defaults to 60000.. The parameter '--sd --source-directory' is optional. path to folders that contain all files to create the image.. The parameter '--st --success-threshold' is optional. minimum consecutive successes for the liveness probe to be considered successful after having failed. defaults to 1. minimum value is 1.. The parameter '--subscription-id' is optional. specifies the subscription id.. The parameter '--timeout-seconds --ts' is optional. number of seconds after which the liveness probe times out. defaults to 2 second. minimum value is 1.. The parameter '--tp --traffic-percentile' is optional. the traffic percentile this version takes in endpoint.. The parameter '--workspace-name -w' is optional. name of the workspace containing the service to update.. The parameter '-v' is optional. verbosity flag.. 