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How can a developer provide access to a growing 15 GB custom ML library for AWS Lambda functions?
A
Using Lambda layers to include the library and attaching these layers to functions.
B
Storing the library in Amazon S3 and fetching it within the Lambda function execution.
C
Creating a Lambda container image with the library and updating Lambda functions to use this image.
D
Utilizing an Amazon EFS file system to store and mount the library for all Lambda functions.
