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AWS Certified Solutions Architect - Professional · AWS
Select 2 answers.
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the architecture must address two main bottlenecks: large file uploads to S3 and dynamic API/database interactions across long distances. S3 use Transfer Acceleration and Multi-Region Stack & Aurora Global Databas - C is a trap - Because Dynamic Traffic doesn't Cache and The "Middle Mile" remains long
"API Gateway APIs call AWS Lambda functions that store metadata in an Amazon Aurora Serverless database and put the documents into an S3 bucket." User -> API GW -> Lambda -> Aurora for metadata + S3 for files upload
The application running on user devices interacts with AWS in two ways: Download static assets via CloudFront, and make API calls against the API GW. Per scenario description, it is the Lambda functions that interact with S3, not the application itself. So, in order to reduce latency incurred by the application, communication with CloudFront and API GW need to be reduced. Answers B and C.