AWS SDK Version 3 for .NET
API Reference

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Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.

Inheritance Hierarchy

System.Object
  Amazon.SageMaker.Model.LabelingJobResourceConfig

Namespace: Amazon.SageMaker.Model
Assembly: AWSSDK.SageMaker.dll
Version: 3.x.y.z

Syntax

C# 
public class LabelingJobResourceConfig

The LabelingJobResourceConfig type exposes the following members

Constructors

NameDescription
Public Method LabelingJobResourceConfig()

Properties

NameTypeDescription
Public Property VolumeKmsKeyId System.String

Gets and sets the property VolumeKmsKeyId.

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

  • KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Public Property VpcConfig Amazon.SageMaker.Model.VpcConfig

Gets and sets the property VpcConfig.

Version Information

.NET:
Supported in: 8.0 and newer, Core 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5 and newer, 3.5