How would you answer an interview scenario involving Kubernetes resource requests and limits?

For an interview scenario involving Kubernetes resource requests and limits, I would first clarify the business goal, scale, constraints, and the failure or quality attribute the interviewer wants to explore. Resource requests influence scheduling and guaranteed capacity, while limits cap container CPU or memory usage. In this scenario, a service is frequently CPU throttled and another is OOMKilled. Explain how you would investigate and tune requests and limits. I would then explain the main alternatives and tradeoffs, identify likely failure modes, and describe how I would validate the solution through testing, observability, security controls, and recovery or rollback planning.