Microsoft.MachineLearningServices workspaces/datastores 2025-04-01

Bicep resource definition

The workspaces/datastores resource type can be deployed with operations that target:

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.MachineLearningServices/workspaces/datastores resource, add the following Bicep to your template.

resource symbolicname 'Microsoft.MachineLearningServices/workspaces/datastores@2025-04-01' = {
  parent: resourceSymbolicName
  name: 'string'
  properties: {
    credentials: {
      credentialsType: 'string'
      // For remaining properties, see DatastoreCredentials objects
    }
    description: 'string'
    properties: {
      {customized property}: 'string'
    }
    tags: {
      {customized property}: 'string'
    }
    datastoreType: 'string'
    // For remaining properties, see DatastoreProperties objects
  }
}

DatastoreCredentials objects

Set the credentialsType property to specify the type of object.

For AccountKey, use:

{
  credentialsType: 'AccountKey'
  secrets: {
    key: 'string'
    secretsType: 'string'
  }
}

For Certificate, use:

{
  authorityUrl: 'string'
  clientId: 'string'
  credentialsType: 'Certificate'
  resourceUrl: 'string'
  secrets: {
    certificate: 'string'
    secretsType: 'string'
  }
  tenantId: 'string'
  thumbprint: 'string'
}

For None, use:

{
  credentialsType: 'None'
}

For Sas, use:

{
  credentialsType: 'Sas'
  secrets: {
    sasToken: 'string'
    secretsType: 'string'
  }
}

For ServicePrincipal, use:

{
  authorityUrl: 'string'
  clientId: 'string'
  credentialsType: 'ServicePrincipal'
  resourceUrl: 'string'
  secrets: {
    clientSecret: 'string'
    secretsType: 'string'
  }
  tenantId: 'string'
}

OneLakeArtifact objects

Set the artifactType property to specify the type of object.

For LakeHouse, use:

{
  artifactType: 'LakeHouse'
}

DatastoreProperties objects

Set the datastoreType property to specify the type of object.

For AzureBlob, use:

{
  accountName: 'string'
  containerName: 'string'
  datastoreType: 'AzureBlob'
  endpoint: 'string'
  protocol: 'string'
  resourceGroup: 'string'
  serviceDataAccessAuthIdentity: 'string'
  subscriptionId: 'string'
}

For AzureDataLakeGen1, use:

{
  datastoreType: 'AzureDataLakeGen1'
  resourceGroup: 'string'
  serviceDataAccessAuthIdentity: 'string'
  storeName: 'string'
  subscriptionId: 'string'
}

For AzureDataLakeGen2, use:

{
  accountName: 'string'
  datastoreType: 'AzureDataLakeGen2'
  endpoint: 'string'
  filesystem: 'string'
  protocol: 'string'
  resourceGroup: 'string'
  serviceDataAccessAuthIdentity: 'string'
  subscriptionId: 'string'
}

For AzureFile, use:

{
  accountName: 'string'
  datastoreType: 'AzureFile'
  endpoint: 'string'
  fileShareName: 'string'
  protocol: 'string'
  resourceGroup: 'string'
  serviceDataAccessAuthIdentity: 'string'
  subscriptionId: 'string'
}

For OneLake, use:

{
  artifact: {
    artifactName: 'string'
    artifactType: 'string'
    // For remaining properties, see OneLakeArtifact objects
  }
  datastoreType: 'OneLake'
  endpoint: 'string'
  oneLakeWorkspaceName: 'string'
  serviceDataAccessAuthIdentity: 'string'
}

Property Values