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AWS SDK for Java 1.x API Reference - 1.12.795

We announced the upcoming end-of-support for AWS SDK for Java (v1). We recommend that you migrate to AWS SDK for Java v2. For dates, additional details, and information on how to migrate, please refer to the linked announcement.
com.amazonaws.services.sagemaker.model

Class LabelingJobResourceConfig

    • Constructor Detail

      • LabelingJobResourceConfig

        public LabelingJobResourceConfig()
    • Method Detail

      • setVolumeKmsKeyId

        public void setVolumeKmsKeyId(String 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"

        Parameters:
        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"

      • getVolumeKmsKeyId

        public String getVolumeKmsKeyId()

        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"

        Returns:
        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"

      • withVolumeKmsKeyId

        public LabelingJobResourceConfig withVolumeKmsKeyId(String 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"

        Parameters:
        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"

        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • setVpcConfig

        public void setVpcConfig(VpcConfig vpcConfig)
        Parameters:
        vpcConfig -
      • getVpcConfig

        public VpcConfig getVpcConfig()
        Returns:
      • withVpcConfig

        public LabelingJobResourceConfig withVpcConfig(VpcConfig vpcConfig)
        Parameters:
        vpcConfig -
        Returns:
        Returns a reference to this object so that method calls can be chained together.
      • toString

        public String toString()
        Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
        Overrides:
        toString in class Object
        Returns:
        A string representation of this object.
        See Also:
        Object.toString()
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