/* * Copyright 2018-2023 Amazon.com, Inc. or its affiliates. All Rights Reserved. * * Licensed under the Apache License, Version 2.0 (the "License"). You may not use this file except in compliance with * the License. A copy of the License is located at * * http://aws.amazon.com/apache2.0 * * or in the "license" file accompanying this file. This file is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR * CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions * and limitations under the License. */ package com.amazonaws.services.sagemaker.model; import java.io.Serializable; import javax.annotation.Generated; import com.amazonaws.protocol.StructuredPojo; import com.amazonaws.protocol.ProtocolMarshaller; /** *

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

* * @see AWS API Documentation */ @Generated("com.amazonaws:aws-java-sdk-code-generator") public class LabelingJobResourceConfig implements Serializable, Cloneable, StructuredPojo { /** *

* 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: *

* */ private String volumeKmsKeyId; private VpcConfig vpcConfig; /** *

* 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: *

* * * @param 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: *

*