Java – Page 71 – Sharp: NCLEX, Java & Python

Java: Backpressure Strategies

How do backpressure strategies help manage data flow between fast Publishers and slow Subscribers?

Why is map preferred over flatMap for simple transformations in Project Reactor?

How does WebFlux's non-blocking nature compare to Virtual Threads?

What role does a Subscriber play in Reactive Streams?

How would you explain a common mistake when using request(n) in Reactive Streams in an interview?

Can backpressure be configured to drop or buffer items in a fast data stream?

What makes the Event Loop non-blocking in Reactive Streams?

How does a Subscriber signal it can't keep up?

Why is backpressure crucial in Reactive Streams?

Why might integration tests be worth the cost in complex applications?