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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cloud Native Observability8%- Monitoring and Metrics
  • 1. Dashboards and Visualization (Grafana)
  • 2. Prometheus and Metrics Collection
- Logging
  • 1. Centralized Logging (Fluentd, Elasticsearch, Kibana)
  • 2. Kubernetes Logging Architecture
- Tracing
  • 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
Topic 2: Kubernetes Fundamentals46%- Scheduling
  • 1. Resource Requests and Limits
  • 2. Taints and Tolerations
  • 3. Node Selection and Affinity
- Kubernetes Architecture
  • 1. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
  • 2. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
- Containers
  • 1. Basic kubectl Commands
  • 2. Container Runtime Interface (CRI)
  • 3. Container Images and Registries
- Kubernetes Resources
  • 1. Networking Resources (Services, Ingress)
  • 2. Configuration Resources (ConfigMaps, Secrets)
  • 3. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
- Kubernetes API
  • 1. API Resource Structure and Versioning
  • 2. Declarative Management (Manifests/YAML)
Topic 3: Container Orchestration22%- Orchestration Fundamentals
  • 1. Scheduling and Resource Management
  • 2. Service Discovery and Load Balancing
  • 3. Self-healing and Rolling Updates
- Networking
  • 1. CoreDNS and Service Networking
  • 2. Kubernetes Networking Model
- Storage
  • 1. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
  • 2. Storage Classes and Dynamic Provisioning
- Security
  • 1. Network Policies
  • 2. Pod Security Standards (Admission Control)
  • 3. RBAC (Role-Based Access Control)
- Service Mesh
  • 1. Service Mesh Concepts (Istio, Linkerd)
  • 2. Sidecar Pattern and Traffic Management
- Container Runtimes
  • 1. Docker, containerd, CRI-O
Topic 4: Cloud Native Architecture16%- Architecture Concepts
  • 1. Serverless and FaaS
  • 2. Autoscaling (HPA, VPA, Cluster Autoscaler)
  • 3. Elasticity and Resilience
  • 4. Microservices Architecture
- Cloud Native Landscape
  • 1. CNCF Role and Governance
  • 2. CNCF Project Categories (Sandbox, Incubating, Graduated)
- Infrastructure and Practices
  • 1. DevOps Practices and Culture
  • 2. Immutable Infrastructure
  • 3. Infrastructure as Code (IaC)
Topic 5: Cloud Native Application Delivery8%- GitOps
  • 1. GitOps Principles and Workflow
  • 2. Tools (Argo CD, Flux)
- CI/CD
  • 1. Continuous Integration and Continuous Delivery Pipelines
  • 2. Artifact Management and Image Registries
- Deployment Strategies
  • 1. Blue/Green, Canary, Rolling Updates

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q76-Q81):

NEW QUESTION # 76
What is the purpose of the kube-proxy?

Answer: C


NEW QUESTION # 77
Which tools enable Kubernetes HorizontalPodAutoscalers to use custom, application-generated metrics to trigger scaling events?

Answer: D


NEW QUESTION # 78
You are building a CI/CD pipeline to deploy a Java application to Kubernetes. The application requires a specific Java version and some libraries to run correctly. How would you ensure that the correct runtime environment is available in the Kubernetes cluster?

Answer: A,C

Explanation:
The most common approaches are to include the required Java and libraries within the Dockerfile to create a self-contained image, or to use Kubernetes Init Containers. Init containers run before the main application container, installing the dependencies, ensuring the proper runtime environment is available.


NEW QUESTION # 79
DNS issues are suspected inside a Pod. Which command is most useful to verify the problem?

Answer: B

Explanation:
Executing nslookup inside the Pod tests DNS resolution from the Pod's own network namespace, directly verifying whether service names can be resolved as expected.


NEW QUESTION # 80
What is CloudEvents?

Answer: B


NEW QUESTION # 81
......

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