[Solved] In an event-driven system using Kafka, what role does asynchronous processing play in scaling? — Ans: It allows components to work independently without waiting | Kafka

Kafka - Event-Driven Architecture

In an event-driven system using Kafka, what role does asynchronous processing play in scaling?

AIt slows down message delivery

BIt allows components to work independently without waiting

CIt forces all components to process events simultaneously

DIt requires manual intervention to scale

Step-by-Step Solution

Solution:

Step 1: Define asynchronous processing in event-driven systems
Asynchronous means components do not wait for each other to finish before continuing.
Step 2: Understand how this affects scaling
Because components work independently, they can handle more load by scaling separately.
Final Answer:
It allows components to work independently without waiting -> Option B
Quick Check:
Asynchronous = Independent work [OK]

Quick Trick: Asynchronous means no waiting between components [OK]

Common Mistakes:

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