Which two standards are utilized by HPA for scaling?

The correct choice highlights CPU Utilization as one of the standards applied by the Horizontal Pod Autoscaler (HPA) for scaling in Kubernetes environments. HPA dynamically adjusts the number of pods in a deployment based on observed CPU utilization or other select metrics.

By monitoring CPU Utilization, HPA can identify whether the current resources are adequate to handle the workload. If the CPU utilization exceeds a defined threshold for a specified duration, HPA will trigger the scaling process to add more pods. Conversely, if the utilization is lower than the threshold, it may scale down the number of pods to optimize resource usage and reduce costs.

This capability is crucial for maintaining application performance and reliability while also ensuring resources are allocated efficiently based on real-time demand.