Which solution will meet these requirements?
Compress the application code and dependencies into a .zip file. Directly upload the .zip file as a deployment package for the Lambda function instead of copying the code.
Compress the application code and dependencies into a .zip file. Upload the .zip file to an Amazon S3 bucket. Configure the Lambda function to run the code from the .zip file in the S3 bucket.
Package the application code and dependencies into a container image. Upload the image to an Amazon S3 bucket. Configure the Lambda function to run the code in the image.
Package the application code and dependencies into a container image. Push the image to an Amazon Elastic Container Registry (Amazon ECR) repository. Deploy the image to the Lambda function.
Explanations:
Lambda function deployment package size limit is 50 MB for direct upload, so 500 MB cannot be uploaded this way.
While Lambda can pull from S3, it also has a 50 MB limit for direct uploads, making this method unsuitable for a 500 MB file.
Lambda supports container images, but they must be pushed to Amazon ECR, not stored in S3, to be used as a deployment source.
AWS Lambda supports container images up to 10 GB, and they must be stored in Amazon ECR. This solution meets all requirements.
I gauge that the answer is:
Package the application code and dependencies into a container image. Push the image to an Amazon Elastic Container Registry (Amazon ECR) repository. Deploy the image to the Lambda function.
I evaluate that the answer is:
Package the application code and dependencies into a container image. Push the image to an Amazon Elastic Container Registry (Amazon ECR) repository. Deploy the image to the Lambda function.