Consider two services communicating synchronously versus asynchronously. Which statement best explains how async processing helps decouple these systems?
Think about what happens when one service sends a message and does not wait for a reply immediately.
Async processing lets services send messages and continue their work without waiting. This reduces the need for both services to be available at the same time, lowering direct dependencies and improving decoupling.
In a system where a web server sends user requests to a message queue, and a worker service processes these requests later, which component represents the async processing?
Which part holds requests temporarily so processing can happen later?
The message queue acts as a buffer holding requests asynchronously. The web server sends requests without waiting, and the worker processes them independently later.
Which option best describes how async processing helps scale a system under heavy load?
Think about how queuing requests helps manage bursts of traffic.
By queuing requests asynchronously, the system can smooth out spikes and process requests at a manageable pace, improving scalability and stability.
Which statement correctly describes a tradeoff when using async processing to decouple systems?
Consider what challenges arise when messages are processed later and possibly out of order.
While async processing decouples systems, it introduces challenges like handling errors that occur later and ensuring messages are processed in the correct order.
A system uses async processing with a message queue that can hold 10,000 messages. If the worker processes 500 messages per second, what is the maximum burst duration (in seconds) the system can handle without dropping messages?
Divide the queue capacity by the processing rate to find the burst duration.
The queue can hold 10,000 messages. The worker processes 500 messages each second. So, 10,000 รท 500 = 20 seconds of burst capacity.