data_distribution_types.ipynb failed CI

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

Error:

---------------------------------------------------------------------------
Exception encountered at "In [8]":
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ParamValidationError Traceback (most recent call last)
in
1 for year in range(1979, 1984):
----> 2 prepare_gdelt(bucket, prefix, str(year), events)

in prepare_gdelt(bucket, prefix, file_prefix, events, random_state)
18 train_data, validation_data = np.split(model_data.sample(frac=1, random_state=random_state).to_numpy(),
19 [int(

[...]

Invalid bucket name "": Bucket name must match the regex "^[a-zA-Z0-9.\-_]{1,255}$" or be an ARN matching the regex "^arn:(aws).*:s3:[a-z\-0-9]+:[0-9]{12}:accesspoint[/:][a-zA-Z0-9\-]{1,63}$|^arn:(aws).*:s3-outposts:[a-z\-0-9]+:[0-9]{12}:outpost[/:][a-zA-Z0-9\-]{1,63}[/:]accesspoint[/:][a-zA-Z0-9\-]{1,63}$"

Open advanced_functionality/data_distribution_types/data_distribution_types.ipynb and inspect In [8], then trace the prepare_gdelt call shown in the error. Reproduce the notebook’s CI failure and determine how the placeholder bucket value reaches the AWS request; done means the notebook completes without the invalid bucket-name error.

Written by the indexing model from the issue text.