What is the primary use case for Cloud Memorystore for Redis in a GCP architecture?

Question

Google Cloud (GCP) — Hard

What is the primary use case for Cloud Memorystore for Redis in a GCP architecture?

Accepted Answer

Cloud Memorystore for Redis primarily serves as an in-memory cache, reducing latency for read-heavy workloads by storing frequently accessed data in memory. This contrasts with relational databases and message queues. Incorrect options misalign with Redis' caching purpose.