You want to design a scalable event-driven app using Kafka that handles thousands of users sending events simultaneously. Which approach best supports scaling?

hard📝 Application Q15 of 15

Kafka - Event-Driven Architecture

ASend events directly between users without Kafka.

BUse a single Kafka partition and one consumer to keep order.

CStore all events in a database first, then process them sequentially.

DUse multiple Kafka partitions and consumers to process events in parallel.

Step-by-Step Solution

Solution:

Step 1: Understand Kafka partitions and consumers
Kafka partitions allow splitting event streams so multiple consumers can read in parallel.
Step 2: Connect parallel processing to scaling
Using multiple partitions and consumers lets the app handle many events at once, improving scalability.
Final Answer:
Use multiple Kafka partitions and consumers to process events in parallel. -> Option D
Quick Check:
Partitions + consumers = Parallel processing = Scales well [OK]

Quick Trick: Parallel consumers on partitions scale Kafka apps best [OK]

Common Mistakes:

MISTAKES

Choosing single partition limits throughput
Processing events sequentially slows app
Skipping Kafka loses event-driven benefits

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More Kafka Quizzes

You want to design a scalable event-driven app using Kafka that handles thousands of users sending events simultaneously. Which approach best supports scaling?

Step 1: Understand Kafka partitions and consumers

Step 2: Connect parallel processing to scaling

Final Answer:

Quick Check:

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