There is a command group 'az_ml_feature set'. This group of commands could 'manage azure ml feature sets'. 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_feature set_backfill'.The syntax is: az ml feature-set backfill [--by-data-status]
                           [--by-job-id]
                           [--compute-resource]
                           [--description]
                           [--display-name]
                           [--feature-store-name]
                           [--feature-window-end-time]
                           [--feature-window-start-time]
                           [--file]
                           [--name]
                           [--resource-group]
                           [--spark-configuration-settings]
                           [--tags]
                           [--version]
                           [--workspace-name]. The 1th example of the child command would be to use it to 'begin backfill job', the syntax is: az ml feature-set backfill --name my-feature-set --version 1 --resource-group my-resource-group --feature-store-name my-feature-store --feature-window-start-time start-time --feature-window-end-time end-time. The parameter '--by-data-status -d' is optional. specified the data availability status that you want to backfill.. The parameter '--by-job-id -j' is optional. specify the jobid to retry the failed materialization.. The parameter '--compute-resource -r' is optional. specifies the compute resource settings.. The parameter '--description' is optional. description of the object.. The parameter '--display-name' is optional. specifies the display name.. The parameter '--feature-store-name' is optional. name of the feature store you can configure the default group using `az configure --defaults feature-store=<name>`.. The parameter '--feature-window-end-time -e' is optional. end time of the feature window to be materialized.. The parameter '--feature-window-start-time -s' is optional. start time of the feature window to be materialized.. The parameter '--file -f' is optional. local path to the yaml file containing the feature set backfill request.. The parameter '--name -n' is optional. name of the feature set.. The parameter '--resource-group -g' is optional. name of resource group. you can configure the default group using `az configure --defaults group=<name>`.. The parameter '--spark-configuration-settings -c' is optional. specifies the spark compute settings.. The parameter '--tags' is optional. space-separated key-value pairs for the tags of the object.. The parameter '--version -v' is optional. version of the feature set.. The parameter '--workspace-name -w' is optional. name of the feature store you can configure the default group using `az configure --defaults feature-store=<name>`.. 