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Microsoft.MachineLearningServices workspaces/privateEndpointConnections 2020-06-01

  • Article

Bicep resource definition

The workspaces/privateEndpointConnections 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/privateEndpointConnections resource, add the following Bicep to your template.

resource symbolicname 'Microsoft.MachineLearningServices/workspaces/privateEndpointConnections@2020-06-01' = {
  name: 'string'
  properties: {
    privateEndpoint: {}
    privateLinkServiceConnectionState: {
      actionsRequired: 'string'
      description: 'string'
      status: 'string'
    }
  }
}

Property values

Microsoft.MachineLearningServices/workspaces/privateEndpointConnections

Name Description Value
name The resource name string (required)
parent In Bicep, you can specify the parent resource for a child resource. You only need to add this property when the child resource is declared outside of the parent resource.

For more information, see Child resource outside parent resource.		 Symbolic name for resource of type: workspaces
properties Resource properties. PrivateEndpointConnectionProperties

PrivateEndpoint

Name Description Value

PrivateEndpointConnectionProperties

Name Description Value
privateEndpoint The resource of private end point. PrivateEndpoint
privateLinkServiceConnectionState A collection of information about the state of the connection between service consumer and provider. PrivateLinkServiceConnectionState (required)

PrivateLinkServiceConnectionState

Name Description Value
actionsRequired A message indicating if changes on the service provider require any updates on the consumer. string
description The reason for approval/rejection of the connection. string
status Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. 'Approved'
'Disconnected'
'Pending'
'Rejected'
'Timeout'

ARM template resource definition

The workspaces/privateEndpointConnections 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/privateEndpointConnections resource, add the following JSON to your template.

{
  "type": "Microsoft.MachineLearningServices/workspaces/privateEndpointConnections",
  "apiVersion": "2020-06-01",
  "name": "string",
  "properties": {
    "privateEndpoint": {
    },
    "privateLinkServiceConnectionState": {
      "actionsRequired": "string",
      "description": "string",
      "status": "string"
    }
  }
}

Property values

Microsoft.MachineLearningServices/workspaces/privateEndpointConnections

Name Description Value
apiVersion The api version '2020-06-01'
name The resource name string (required)
properties Resource properties. PrivateEndpointConnectionProperties
type The resource type 'Microsoft.MachineLearningServices/workspaces/privateEndpointConnections'

PrivateEndpoint

Name Description Value

PrivateEndpointConnectionProperties

Name Description Value
privateEndpoint The resource of private end point. PrivateEndpoint
privateLinkServiceConnectionState A collection of information about the state of the connection between service consumer and provider. PrivateLinkServiceConnectionState (required)

PrivateLinkServiceConnectionState

Name Description Value
actionsRequired A message indicating if changes on the service provider require any updates on the consumer. string
description The reason for approval/rejection of the connection. string
status Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. 'Approved'
'Disconnected'
'Pending'
'Rejected'
'Timeout'

Terraform (AzAPI provider) resource definition

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

  • Resource groups

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

Resource format

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

resource "azapi_resource" "symbolicname" {
  type = "Microsoft.MachineLearningServices/workspaces/privateEndpointConnections@2020-06-01"
  name = "string"
  body = jsonencode({
    properties = {
      privateEndpoint = {
      }
      privateLinkServiceConnectionState = {
        actionsRequired = "string"
        description = "string"
        status = "string"
      }
    }
  })
}

Property values

Microsoft.MachineLearningServices/workspaces/privateEndpointConnections

Name Description Value
name The resource name string (required)
parent_id The ID of the resource that is the parent for this resource. ID for resource of type: workspaces
properties Resource properties. PrivateEndpointConnectionProperties
type The resource type "Microsoft.MachineLearningServices/workspaces/privateEndpointConnections@2020-06-01"

PrivateEndpoint

Name Description Value

PrivateEndpointConnectionProperties

Name Description Value
privateEndpoint The resource of private end point. PrivateEndpoint
privateLinkServiceConnectionState A collection of information about the state of the connection between service consumer and provider. PrivateLinkServiceConnectionState (required)

PrivateLinkServiceConnectionState

Name Description Value
actionsRequired A message indicating if changes on the service provider require any updates on the consumer. string
description The reason for approval/rejection of the connection. string
status Indicates whether the connection has been Approved/Rejected/Removed by the owner of the service. 'Approved'
'Disconnected'
'Pending'
'Rejected'
'Timeout'