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Why does Spring Boot recommend using Redis as a cache provider instead of in-memory caches for distributed applications?

hard📝 Conceptual Q10 of 15
Spring Boot - Caching
Why does Spring Boot recommend using Redis as a cache provider instead of in-memory caches for distributed applications?
AIn-memory caches are faster and more scalable than Redis
BRedis provides a shared cache accessible by multiple app instances
CRedis automatically updates application code
DIn-memory caches support persistence by default
Step-by-Step Solution
Solution:
  1. Step 1: Understand distributed caching needs

    Distributed apps run multiple instances; in-memory caches are local to each instance and not shared.
  2. Step 2: Redis advantage

    Redis is a centralized cache server accessible by all instances, ensuring consistent cached data.
  3. Final Answer:

    Redis provides a shared cache accessible by multiple app instances -> Option B
  4. Quick Check:

    Redis enables shared cache for distributed apps [OK]
Quick Trick: Use Redis for shared cache in distributed apps [OK]
Common Mistakes:
  • Believing in-memory caches are shared
  • Thinking Redis updates code
  • Assuming in-memory caches persist data

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