Ace Alibaba Cloud Magic 2026 – Turbocharge Your ACA Journey!

Get more with Examzify Plus

Remove ads, unlock favorites, save progress, and access premium tools across devices.

FavoritesSave progressAd-free
From $9.99Learn more

1 / 400

Which implementation would maintain maximum uptime for a caching layer in front of RDS?

Implement ApsaraDB for Redis in Cluster Mode.

Implementing ApsaraDB for Redis in Cluster Mode is the best choice for maintaining maximum uptime for a caching layer in front of RDS. This approach offers horizontal scaling, which means that you can add more nodes to the Redis cluster to handle increased load. The cluster mode allows for data sharding across multiple nodes, ensuring that even if one node fails, the data remains accessible from the other nodes in the cluster. This redundancy and load distribution enhance the reliability and availability of the caching layer.

In contrast, while simple in-memory caching can be fast, it typically does not provide the necessary resilience and can lead to data loss if the application or server crashes. Similarly, a file-based caching solution is often slower and less efficient compared to in-memory solutions, leading to increased latency and potential bottlenecks. Finally, implementing a single-node Redis instance lacks redundancy; if that single node goes down, the entire caching layer becomes unavailable, significantly reducing uptime and reliability. Overall, ApsaraDB for Redis in Cluster Mode is specifically designed to optimize both uptime and performance for caching use cases, making it the ideal solution.

Get further explanation with Examzify DeepDiveBeta

Implement simple in-memory caching.

Use a file-based caching solution.

Implement a single-node Redis instance.

Next Question
Subscribe

Get the latest from Examzify

You can unsubscribe at any time. Read our privacy policy