You are designing a scalable event-driven system for a social media app. Which approach best improves scalability and fault tolerance?

hard📝 Trade-off Q15 of 15

LLD - Advanced LLD Concepts

AStore all events in a database and process them synchronously

BUse a distributed message queue with multiple consumers processing events in parallel

CUse a single queue and one consumer to ensure event order

DSend events directly from producer to consumer without queue

Step-by-Step Solution

Solution:

Step 1: Understand scalability and fault tolerance needs
Social media apps have high event volume; parallel processing and fault tolerance are key.
Step 2: Evaluate options for scalability
Distributed queues with multiple consumers allow load balancing and fault tolerance. Single consumer limits throughput. Synchronous processing blocks system. Direct send lacks buffering and fault tolerance.
Final Answer:
Use a distributed message queue with multiple consumers processing events in parallel -> Option B
Quick Check:
Distributed queues + parallel consumers = scalable & fault tolerant [OK]

Quick Trick: Parallel consumers on distributed queue scale best [OK]

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