A developer needs to implement a custom machine learning (ML) library in an application. The size of the library is 15 GB. The size of the library is increasing. The application uses AWS Lambda functions. All the Lambda functions must have access to the library.
Which solution will meet these requirements?

A. Save the library in Lambda layers. Attach the layers to all Lambda functions.

B. Save the library in Amazon S3. Download the library from Amazon S3 inside the Lambda function.

C. Save the library as a Lambda container image. Redeploy the Lambda functions with the new image.

D. Save the library in an Amazon Elastic File System (Amazon EFS) file system. Mount the EFS file system in all the Lambda functions.








 

Suggested Answer: D

Community Answer: D




This question is in DVA-C02 AWS Certified Developer – Associate Exam
For getting AWS Certified Developer – Associate Certificate


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