@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class LabelingJobResourceConfig extends Object implements Serializable, Cloneable, StructuredPojo
Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.
| Constructor and Description | 
|---|
| LabelingJobResourceConfig() | 
| Modifier and Type | Method and Description | 
|---|---|
| LabelingJobResourceConfig | clone() | 
| boolean | equals(Object obj) | 
| String | getVolumeKmsKeyId()
 The AWS Key Management Service (AWS 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. | 
| int | hashCode() | 
| void | marshall(ProtocolMarshaller protocolMarshaller)Marshalls this structured data using the given  ProtocolMarshaller. | 
| void | setVolumeKmsKeyId(String volumeKmsKeyId)
 The AWS Key Management Service (AWS 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. | 
| String | toString()Returns a string representation of this object. | 
| LabelingJobResourceConfig | withVolumeKmsKeyId(String volumeKmsKeyId)
 The AWS Key Management Service (AWS 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. | 
public void setVolumeKmsKeyId(String volumeKmsKeyId)
The AWS Key Management Service (AWS 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 AWS KMS customer managed
 CMK 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"
 
volumeKmsKeyId - The AWS Key Management Service (AWS 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 AWS KMS
        customer managed CMK 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 String getVolumeKmsKeyId()
The AWS Key Management Service (AWS 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 AWS KMS customer managed
 CMK 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"
 
         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 AWS KMS
         customer managed CMK 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 LabelingJobResourceConfig withVolumeKmsKeyId(String volumeKmsKeyId)
The AWS Key Management Service (AWS 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 AWS KMS customer managed
 CMK 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"
 
volumeKmsKeyId - The AWS Key Management Service (AWS 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 AWS KMS
        customer managed CMK 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 String toString()
toString in class ObjectObject.toString()public LabelingJobResourceConfig clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojoProtocolMarshaller.marshall in interface StructuredPojoprotocolMarshaller - Implementation of ProtocolMarshaller used to marshall this object's data.