A developer needs to modify an application architecture to meet new functional requirements.Application data is stored in Amazon DynamoDB and processed for analysis in a nightly batch.The system analysts do not want to wait until the next day to view the processed data and have asked to have it available in near-real time.
Which application architecture pattern would enable the data to be processed as it is received?
Event driven
Client-server driven
Fan-out driven
Schedule driven
Explanations:
An event-driven architecture processes data as it is received, allowing near-real-time data availability. Amazon DynamoDB streams can trigger functions.
A client-server architecture does not inherently support real-time data processing and is focused on direct communication between clients and servers.
Fan-out is useful for distributing data to multiple endpoints, but it does not directly ensure real-time data processing.
A schedule-driven approach relies on periodic tasks and does not support real-time processing.
In my opinion, the answer is:
Event driven
I estimate that the answer is:
Event driven