Which statement best describes vertical scaling of an application?

Which statement best describes vertical scaling of an application?

• A. Adding more instances to handle load
• B. Increasing the computational resources of an existing instance
• C. Distributing Pods across multiple clusters
• D. Sharding data across multiple databases

Answer: (B)

Vertical scaling means upgrading the resources of a single instance to handle more load. In Kubernetes terms, you increase the CPU and memory allocated to a single pod (requests/limits) or run it on a larger node so one replica can do more work. So the best statement is increasing the computational resources of an existing instance—making one pod bigger rather than creating more pods. Adding more instances to handle load describes horizontal scaling (scale out). Distributing Pods across multiple clusters is about deployment distribution or HA, not increasing a single pod’s capacity. Sharding data across multiple databases is about scaling the data layer, not the application instance itself.

Vertical scaling means upgrading the resources of a single instance to handle more load. In Kubernetes terms, you increase the CPU and memory allocated to a single pod (requests/limits) or run it on a larger node so one replica can do more work.

So the best statement is increasing the computational resources of an existing instance—making one pod bigger rather than creating more pods.

Adding more instances to handle load describes horizontal scaling (scale out). Distributing Pods across multiple clusters is about deployment distribution or HA, not increasing a single pod’s capacity. Sharding data across multiple databases is about scaling the data layer, not the application instance itself.