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fix: kms key does not propapate in register model step #2481
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fix: kms key does not propapate in register model step #2481
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Do we need to use the specified kms key to encrypt the repacked model tar ball in this script as well - https://github.com/aws/sagemaker-python-sdk/blob/master/src/sagemaker/workflow/_repack_model.py
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I think the tar file is encrypted; at least from what I tested, the .tar file output from the register step is encrypted with the kms key provided. Not sure if I missed anything |
Ohh. I think i know what's going on now. The script only bundles the inference script with the model artifact and put that generated tar ball in /opt/ml/model. This script is running in a training job, the training job is taking care of the part uploading this model to s3 and use that specified kms_key for server side encryption. so as long as the correct kms_key get passed in that SKLearn estimator the output model archive will be encrypted with the right key. |
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Issue #, if available:
https://sim.amazon.com/issues/AML-126368
Customer specified KMS is not propagated to register step; the model is encrypted by managed key instead of the key provided.
Description of changes:
Propagate KMS to register step when calling register.
Testing done:
Test done with dev account; output of register step is encrypted wit the provided KMS key.
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