[Solved] How does using an event-driven model with Kafka improve the scalability of applications? — Ans: By decoupling components so they can process events independently and in... | Kafka

Kafka - Event-Driven Architecture

How does using an event-driven model with Kafka improve the scalability of applications?

ABy decoupling components so they can process events independently and in parallel

BBy requiring all components to process events synchronously to maintain order

CBy storing all events in a single queue that limits throughput

DBy forcing consumers to wait for producers to finish sending all events before processing

Step-by-Step Solution

Solution:

Step 1: Understand event-driven architecture
Event-driven systems decouple producers and consumers, allowing independent processing.
Step 2: Analyze scalability benefits
Decoupling enables parallel processing and scaling of components independently.
Final Answer:
By decoupling components so they can process events independently and in parallel -> Option A
Quick Check:
Decoupling and parallelism improve scalability [OK]

Quick Trick: Decoupling enables parallel processing and better scaling [OK]

Common Mistakes:

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