pub struct LabelingJobResourceConfig {
pub volume_kms_key_id: Option<String>,
}
Expand description
Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.
Fields§
§volume_kms_key_id: Option<String>
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"
Trait Implementations§
Source§impl Clone for LabelingJobResourceConfig
impl Clone for LabelingJobResourceConfig
Source§fn clone(&self) -> LabelingJobResourceConfig
fn clone(&self) -> LabelingJobResourceConfig
1.0.0 · Source§fn clone_from(&mut self, source: &Self)
fn clone_from(&mut self, source: &Self)
source
. Read more