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KCNA · Question #78

How does Horizontal Pod autoscaling work in Kubernetes?

The correct answer is D. The Horizontal Pod Autoscaler controller adds more pods when the load is above the configured. The Horizontal Pod Autoscaler (HPA) automatically adjusts the number of pod replicas in a Deployment or ReplicaSet up or down based on observed metrics like CPU utilization or custom metrics.

Submitted by fatima_kr· May 4, 2026Kubernetes Fundamentals

Question

How does Horizontal Pod autoscaling work in Kubernetes?

Options

  • AThe Horizontal Pod Autoscaler controller adds more CPU or memory to the pods when the load is
  • BThe Horizontal Pod Autoscaler controller adds more pods when the load is above the configured
  • CThe Horizontal Pod Autoscaler controller adds more pods to the specified DaemonSet when the
  • DThe Horizontal Pod Autoscaler controller adds more pods when the load is above the configured

How the community answered

(30 responses)
  • A
    7% (2)
  • C
    3% (1)
  • D
    90% (27)

Why each option

The Horizontal Pod Autoscaler (HPA) automatically adjusts the number of pod replicas in a Deployment or ReplicaSet up or down based on observed metrics like CPU utilization or custom metrics.

AThe Horizontal Pod Autoscaler controller adds more CPU or memory to the pods when the load is

Adding more CPU or memory to existing pods is vertical autoscaling, not horizontal autoscaling.

BThe Horizontal Pod Autoscaler controller adds more pods when the load is above the configured

The Horizontal Pod Autoscaler scales Deployments, ReplicaSets, and StatefulSets, not DaemonSets, which are designed to run one pod per node regardless of load.

CThe Horizontal Pod Autoscaler controller adds more pods to the specified DaemonSet when the

The Horizontal Pod Autoscaler scales Deployments, ReplicaSets, and StatefulSets, not DaemonSets, which are designed to run one pod per node regardless of load.

DThe Horizontal Pod Autoscaler controller adds more pods when the load is above the configuredCorrect

The Horizontal Pod Autoscaler (HPA) controller continuously monitors resource utilization (such as CPU or memory) or other custom metrics for a workload and automatically increases or decreases the number of pods to meet demand, ensuring efficient resource usage and application responsiveness.

Concept tested: Horizontal Pod Autoscaler (HPA)

Source: https://kubernetes.io/docs/concepts/workloads/controllers/horizontal-pod-autoscaler/

Topics

#Kubernetes#Autoscaling#HPA#Pods

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