There is a command group 'az_ml v1 _datastore'. This group of commands could 'commands for managing and using datastores with the azure ml workspace'. 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 _datastore_attach blob'.The syntax is: az ml datastore attach-blob --account-name
                            --container-name
                            --name
                            [--account-key]
                            [--endpoint]
                            [--grant-workspace-msi-access]
                            [--include-secret]
                            [--output-metadata-file]
                            [--path]
                            [--protocol]
                            [--resource-group]
                            [--sas-token]
                            [--storage-account-resource-group]
                            [--storage-account-subscription-id]
                            [--subscription-id]
                            [--workspace-name]. The parameter '--account-name -a' is required. It is used to the name of the storage account.. The parameter '--container-name -c' is required. It is used to the blob container name.. The parameter '--name -n' is required. It is used to the datastore name.. The parameter '--account-key -k' is optional. the storage account key.. The parameter '--endpoint' is optional. the endpoint of the storage account. defaults to core.windows.net.. The parameter '--grant-workspace-msi-access' is optional. defaults to false. set it to true to access data behind virtual network from machine learning studio. this makes data access from machine learning studio use workspace managed identity for authentication, you have to be owner or user access administrator of the storage to opt-in. ask your administrator to configure it for you if you do not have the required permission. learn more 'https://docs.microsoft.com/azure/machine-learning/how-to-enable-studio-virtual-network.. The parameter '--include-secret' is optional. show the registered secret for the datastores.. The parameter '--output-metadata-file -t' is optional. provide an optional output file location for structured object output.. The parameter '--path' is optional. path to a root directory for run configuration files.. The parameter '--protocol' is optional. protocol to use to connect to the blob container. if not specified, defaults to https.. The parameter '--resource-group -g' is optional. resource group name.. The parameter '--sas-token' is optional. a sas token for the blob container.. The parameter '--storage-account-resource-group' is optional. the resource group of the storage account.. The parameter '--storage-account-subscription-id' is optional. the subscription id of the storage account.. The parameter '--subscription-id' is optional. specifies the subscription id.. The parameter '--workspace-name -w' is optional. workspace name.. 