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How can a developer provide access to a growing 15 GB custom ML library for AWS Lambda functions?
Explanation:
The correct answer is D. Lambda layers have a size limitation of 250 MB, which is insufficient for a 15 GB library. Downloading the library from Amazon S3 each time would significantly increase the function's execution time. Creating a Lambda container image is cumbersome for a continuously growing library. Amazon EFS can handle large, growing libraries, and can be mounted on multiple Lambda functions, providing a scalable and efficient solution.