Scaling, Monitoring & Logging in Kubernetes Mock Test

Question 1: KUBERNETES- Horizontal Scaling Basics

What does Horizontal Pod Autoscaler (HPA) do in Kubernetes?

Question 2: KUBERNETES- Vertical Scaling

What is the difference between vertical and horizontal scaling in Kubernetes?

Question 3: KUBERNETES- Code Snippet (HPA YAML)

What does this YAML configure?

apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: myapp-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: myapp
  minReplicas: 2
  maxReplicas: 10
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: 70

Question 4: KUBERNETES- Resource Requests & Limits

Why are requests and limits important in pod resource definitions?

Question 5: KUBERNETES- Code Snippet (Pod with Resource Limits)

What does this configuration do?

containers:
- name: myapp
  image: myapp:latest
  resources:
    requests:
      cpu: "250m"
      memory: "128Mi"
    limits:
      cpu: "500m"
      memory: "256Mi"

Question 6: KUBERNETES- Monitoring with Metrics Server

What role does the Metrics Server play in Kubernetes monitoring?

Question 7: KUBERNETES- Logging Basics

By default, how are logs generated by Kubernetes pods accessed?

Question 8: KUBERNETES- Centralized Logging Solutions

Which of the following stacks is commonly used for centralized logging in Kubernetes?

Question 9: KUBERNETES- Code Snippet (Fluentd DaemonSet)

Why is Fluentd often deployed as a DaemonSet in Kubernetes?

apiVersion: apps/v1
kind: DaemonSet
metadata:
  name: fluentd
spec:
  selector:
    matchLabels:
      app: fluentd
  template:
    metadata:
      labels:
        app: fluentd
    spec:
      containers:
      - name: fluentd
        image: fluent/fluentd:latest

Question 10: KUBERNETES- Monitoring with Prometheus & Grafana

How does Prometheus typically integrate with Kubernetes monitoring?