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title titleSuffix description services ms.service ms.subservice ms.topic ms.custom author ms.author ms.date ms.reviewer
CLI (v2) Azure Files datastore YAML schema
Azure Machine Learning
Reference documentation for the CLI (v2) Azure Files datastore YAML schema.
machine-learning
machine-learning
mlops
reference
cliv2, event-tier1-build-2022
ynpandey
yogipandey
10/21/2021
laobri

CLI (v2) Azure Files datastore YAML schema

[!INCLUDE cli v2]

The source JSON schema can be found at https://azuremlschemas.azureedge.net/latest/azureFile.schema.json.

[!INCLUDE schema note]

YAML syntax

Key Type Description Allowed values Default value
$schema string The YAML schema. If you use the Azure Machine Learning VS Code extension to author the YAML file, including $schema at the top of your file enables you to invoke schema and resource completions.
type string Required. The type of datastore. azure_file
name string Required. Name of the datastore.
description string Description of the datastore.
tags object Dictionary of tags for the datastore.
account_name string Required. Name of the Azure storage account.
file_share_name string Required. Name of the file share.
endpoint string Endpoint suffix of the storage service, which is used for creating the storage account endpoint URL by combining the storage account name and endpoint. Example storage account URL: https://<storage-account-name>.file.core.windows.net. core.windows.net
protocol string Protocol to use to connect to the file share. https https
credentials object Credential-based authentication credentials for connecting to the Azure storage account. You can provide either an account key or a shared access signature (SAS) token. Credential secrets are stored in the workspace key vault.
credentials.account_key string The account key for accessing the storage account. One of credentials.account_key or credentials.sas_token is required if credentials is specified.
credentials.sas_token string The SAS token for accessing the storage account. One of credentials.account_key or credentials.sas_token is required if credentials is specified.

Remarks

The az ml datastore command can be used for managing Azure Machine Learning datastores.

Examples

Examples are available in the examples GitHub repository. Several are shown below.

YAML: account key

:::code language="yaml" source="~/azureml-examples-main/cli/resources/datastore/file.yml":::

YAML: sas token

:::code language="yaml" source="~/azureml-examples-main/cli/resources/datastore/file-sas.yml":::

Next steps