Which solution meets these requirements?
Change to asynchronous Lambda function invocation.
Cache the translated newsletters in the Lambda /tmp directory.
Enable TranslateText API caching.
Change the Lambda function to use parallel processing.
Explanations:
Changing to asynchronous Lambda invocation won’t solve the issue of database overload or improve response time. It only changes the function’s invocation method, not how it interacts with the database or processes the translation.
Caching the translated newsletters in the Lambda /tmp directory would reduce the need to query the database and re-translate the newsletters for each request, improving response time.
The TranslateText API does not support built-in caching. Even if caching is enabled for the API, it would not address the database overload or improve Lambda response time.
Parallel processing would not directly address the database overload issue. Additionally, the database is a bottleneck, so splitting tasks into parallel processes wouldn’t resolve the underlying problem.
I infer that the answer is:
Cache the translated newsletters in the Lambda /tmp directory.