aws / aws/amazon-sagemaker-examples

feature_store_kms_key_encryption.ipynb failed CI

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Dominant language
Jupyter Notebook
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Merged PRs (30d)
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Description

Link to the notebook:
https://github.com/aws/amazon-sagemaker-examples/blob/master/sagemaker-featurestore/feature_store_kms_key_encryption.ipynb

Error:

---------------------------------------------------------------------------
Exception encountered at "In [18]":
---------------------------------------------------------------------------
NameError Traceback (most recent call last)
in
5 role_arn=role,
6 enable_online_store=False,
----> 7 offline_store_kms_key_id = 'arn:aws:kms:us-east-1:123456789012:key/'+ new_kms_key['KeyMetadata']['KeyId']
8 )
9

NameError: name 'new_kms_key' is not defined

Contributor guide

Open the contributing guide

Research direction

Open sagemaker-featurestore/feature_store_kms_key_encryption.ipynb and inspect the cells preceding In [18] to trace where the referenced KMS key value should be defined. Run the notebook through the failing cell and verify that the CI run completes without the NameError.

Written by the indexing model from the issue text.

Assessment

Tech stack
aws, jupyter-notebook, machine-learning
Domain
machine-learning, testing
Issue type
Bug
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
35/100

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