[Solved] Why does event-driven architecture with Kafka improve fault tolerance in scalable applications? — Ans: Because events are stored durably and consumers can replay them after failure | Kafka

Kafka - Event-Driven Architecture

Why does event-driven architecture with Kafka improve fault tolerance in scalable applications?

ABecause events are processed only once and never retried

BBecause Kafka requires all consumers to be always online

CBecause producers block until consumers confirm processing

DBecause events are stored durably and consumers can replay them after failure

Step-by-Step Solution

Solution:

Step 1: Understand Kafka's durable event storage
Kafka stores events on disk, so they are not lost if consumers fail.
Step 2: Recognize consumer replay capability
Consumers can re-read events from Kafka after recovering from failure.
Final Answer:
Because events are stored durably and consumers can replay them after failure -> Option D
Quick Check:
Durable storage + replay = fault tolerance [OK]

Quick Trick: Durable events enable replay after failure [OK]

Common Mistakes:

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