Certified Kubernetes Administrator (CKA) Practice Test

The most common parameters for specifying container resources are CPU and memory. When deploying containers in Kubernetes, it's essential to ensure that they have enough resources to run effectively without monopolizing the host's resources.

CPU is a critical parameter because it defines how much processing power is allocated to a container, impacting how quickly it can process tasks and respond to requests. The memory limit ensures that a container does not use more memory than allocated, which helps prevent issues such as out-of-memory errors and the potential crashing of applications.

Other options, like storage, network, and bandwidth, while relevant to overall system performance and configuration, do not specifically pertain to the core resource management for containers in the same way CPU and memory do. Thus, the focus on CPU and memory reflects the most common and fundamental aspects of resource allocation in Kubernetes.