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Linux Foundation KCNA (Kubernetes and Cloud Native Associate) Certification Exam is a globally recognized certification program designed for IT professionals who want to demonstrate their skills and knowledge in container orchestration and cloud-native technologies. KCNA exam provides a comprehensive assessment of an individual's understanding of Kubernetes and other cloud-native technologies, including containerization, microservices, and networking.
Reference: https://training.linuxfoundation.org/certification/kubernetes-cloud-native-associate/
Linux Foundation KCNA certification is recognized globally as a mark of excellence in cloud-native computing. It is an industry-recognized certification that demonstrates a candidate's expertise in Kubernetes and cloud-native technologies. Kubernetes and Cloud Native Associate certification is ideal for individuals who are seeking to enhance their career prospects in the field of cloud-native computing.
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The Linux Foundation KCNA exam covers a wide range of topics, including containerization, Kubernetes architecture, deployment, configuration, and troubleshooting. It also includes topics such as networking, security, storage, and monitoring. KCNA exam is designed to validate the knowledge and skills of individuals who are working with Kubernetes and other cloud-native technologies in a production environment.
Linux Foundation KCNA Exam Syllabus Topics:
| Section | Weight | Objectives |
| Topic 1: Container Orchestration | 22% | - Security
- 1. Pod Security Standards (Admission Control)
- 2. Network Policies
- 3. RBAC (Role-Based Access Control)
- Service Mesh
- 1. Service Mesh Concepts (Istio, Linkerd)
- 2. Sidecar Pattern and Traffic Management
- Storage
- 1. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
- 2. Storage Classes and Dynamic Provisioning
- Networking
- 1. CoreDNS and Service Networking
- 2. Kubernetes Networking Model
- Orchestration Fundamentals
- 1. Self-healing and Rolling Updates
- 2. Scheduling and Resource Management
- 3. Service Discovery and Load Balancing
- Container Runtimes
- 1. Docker, containerd, CRI-O
|
| Topic 2: Cloud Native Application Delivery | 8% | - 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
|
| Topic 3: Cloud Native Architecture | 16% | - Infrastructure and Practices
- 1. Infrastructure as Code (IaC)
- 2. DevOps Practices and Culture
- 3. Immutable Infrastructure
- Architecture Concepts
- 1. Elasticity and Resilience
- 2. Microservices Architecture
- 3. Autoscaling (HPA, VPA, Cluster Autoscaler)
- 4. Serverless and FaaS
- Cloud Native Landscape
- 1. CNCF Project Categories (Sandbox, Incubating, Graduated)
- 2. CNCF Role and Governance
|
| Topic 4: Cloud Native Observability | 8% | - Logging
- 1. Kubernetes Logging Architecture
- 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Tracing
- 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
- Monitoring and Metrics
- 1. Dashboards and Visualization (Grafana)
- 2. Prometheus and Metrics Collection
|
| Topic 5: Kubernetes Fundamentals | 46% | - 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 API
- 1. Declarative Management (Manifests/YAML)
- 2. API Resource Structure and Versioning
- Scheduling
- 1. Taints and Tolerations
- 2. Node Selection and Affinity
- 3. Resource Requests and Limits
- Kubernetes Resources
- 1. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
- 2. Networking Resources (Services, Ingress)
- 3. Configuration Resources (ConfigMaps, Secrets)
|