What can be stored in AWS Lambda Layers?

AWS Lambda Layers are a feature that allows you to manage common dependencies that can be shared across multiple Lambda functions. This capability is particularly useful for packaging libraries, frameworks, and other code that might be required by your Lambda functions, facilitating easier maintenance and promoting code reuse.

When you use Lambda Layers, you can add layers that include common libraries or packages that your functions need to run. This reduces the need to package these libraries with each individual function deployment, which can save on deployment size and help manage versioning more effectively. As a result, option B highlights the primary use case of Lambda Layers, making it the correct answer.

The other options pertain to services or components that do not align with the function of Lambda Layers. For example, images for EC2 instances and virtual machine images are related to Amazon EC2 and are not applicable to Lambda's architecture. Data from RDS databases refers to database content and does not encompass the shared libraries or packages that Lambda Layers are intended for.