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Linux Foundation KCNA Exam is a certification program that validates an individual’s knowledge of Kubernetes and cloud-native technologies. KCNA exam is designed to be challenging and is suitable for IT professionals who are interested in working with these technologies. Kubernetes and Cloud Native Associate certification is recognized by leading companies in the tech industry and can help individuals advance their career and increase their earning potential. Candidates are encouraged to prepare thoroughly before attempting the exam to ensure success.

Reference: https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate/

Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a highly sought-after certification for professionals working in the field of cloud computing. Kubernetes and Cloud Native Associate certification exam is designed to test the candidate’s knowledge and skills in Kubernetes and cloud-native technologies. KCNA exam is conducted by the Linux Foundation, which is a non-profit organization that supports the development of open-source software.

Linux Foundation KCNA Exam Syllabus Topics:

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

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