Which solution will resolve this problem?
Increase the memory of the Lambda function to give the function the ability to process large files from the S3 bucket.
Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket.
Configure an Amazon Simple Queue Service (Amazon SQS) queue as an OnFailure destination for the Lambda function.
Provision space in the /tmp folder of the Lambda function to give the function the ability to process large files from the S3 bucket.
Explanations:
Increasing the memory of the Lambda function does not address the issue of event invocation from S3. Lambda function memory does not influence whether the function is triggered by S3 events.
Creating a resource policy on the Lambda function is necessary to grant S3 permission to invoke the Lambda function for events from the specific S3 bucket. Without this policy, S3 cannot trigger the Lambda function.
Configuring an Amazon SQS queue as an OnFailure destination does not resolve the issue of the Lambda function not being invoked. This option only deals with failure handling after invocation and does not affect the invocation itself.
Provisioning space in the /tmp folder may help with processing large files, but it does not solve the fundamental problem of the Lambda function not being invoked when objects are added or modified in the S3 bucket.
I plan that the answer is:
Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket.
I plot that the answer is:
Create a resource policy on the Lambda function to grant Amazon S3 the permission to invoke the Lambda function for the S3 bucket.