[Solved] Given this HPA YAML snippet:apiVersion: autoscaling/v2 kind: HorizontalPodAutoscaler metadata: name: myapp-hpa spec: scaleTargetRef: apiVersion: apps/v1 kind: Deployment name: myapp minReplicas:... | Kubernetes

Kubernetes - Resource Management

Given this HPA YAML snippet:

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 1
  maxReplicas: 4
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 60

What happens if the CPU usage stays at 80% for a while?

AThe number of pods will increase up to 4 to reduce CPU load

BThe number of pods will decrease to 1

CThe number of pods will stay the same regardless of CPU

DThe deployment will be deleted automatically

Step-by-Step Solution

Solution:

Step 1: Understand HPA scaling behavior
HPA increases pods when CPU usage exceeds target averageUtilization (60%). Here CPU is 80%, which is higher.
Step 2: Check min and max replicas limits
Pods can scale between 1 and 4. Since CPU is high, pods will increase up to max 4 to reduce load.
Final Answer:
The number of pods will increase up to 4 to reduce CPU load -> Option A
Quick Check:
CPU > target => pods increase [OK]

Quick Trick: CPU above target means pods scale up within min-max [OK]

Common Mistakes:

Thinking pods scale down when CPU is high
Ignoring min/max replica limits
Assuming deployment deletion on high CPU

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More Kubernetes Quizzes

Given this HPA YAML snippet:

Step 1: Understand HPA scaling behavior

Step 2: Check min and max replicas limits

Final Answer:

Quick Check:

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