MachineLearningPrivateEndpointConnectionCollection.GetIfExistsAsync Method
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
Tries to get details for this resource from the service.
- Request Path: /subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/privateEndpointConnections/{privateEndpointConnectionName}
- Operation Id: PrivateEndpointConnections_Get
- Default Api Version: 2024-04-01
- Resource: MachineLearningPrivateEndpointConnectionResource
public virtual System.Threading.Tasks.Task<Azure.NullableResponse<Azure.ResourceManager.MachineLearning.MachineLearningPrivateEndpointConnectionResource>> GetIfExistsAsync (string privateEndpointConnectionName, System.Threading.CancellationToken cancellationToken = default);
abstract member GetIfExistsAsync : string * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.NullableResponse<Azure.ResourceManager.MachineLearning.MachineLearningPrivateEndpointConnectionResource>>
override this.GetIfExistsAsync : string * System.Threading.CancellationToken -> System.Threading.Tasks.Task<Azure.NullableResponse<Azure.ResourceManager.MachineLearning.MachineLearningPrivateEndpointConnectionResource>>
Public Overridable Function GetIfExistsAsync (privateEndpointConnectionName As String, Optional cancellationToken As CancellationToken = Nothing) As Task(Of NullableResponse(Of MachineLearningPrivateEndpointConnectionResource))
Parameters
- privateEndpointConnectionName
- String
The name of the private endpoint connection associated with the workspace.
- cancellationToken
- CancellationToken
The cancellation token to use.
Returns
Exceptions
privateEndpointConnectionName
is an empty string, and was expected to be non-empty.
privateEndpointConnectionName
is null.
Applies to
Collabora con noi su GitHub
L'origine di questo contenuto è disponibile in GitHub, in cui è anche possibile creare ed esaminare i problemi e le richieste pull. Per ulteriori informazioni, vedere la guida per i collaboratori.