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Linux Foundation KCNA Exam Syllabus Topics:

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

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q244-Q249):

NEW QUESTION # 244
Which command lists the running containers in the current Kubernetes namespace?

Answer: C


NEW QUESTION # 245
Which of the following container runtime is planned to be deprecated in Kubernetes 1.20 and high-er?

Answer: D

Explanation:
https://kubernetes.io/blog/2020/12/02/dont-panic-kubernetes-and-docker/


NEW QUESTION # 246
What function does kube-proxy provide to a cluster?

Answer: C


NEW QUESTION # 247
Your Kubernetes cluster is running multiple applications with varying resource requirements. You need to ensure that each application receives the resources it needs for optimal performance. Which of the following open standards is most relevant to this task?

Answer: C

Explanation:
Kubernetes Resource Quotas allow you to set limits on the resources (CPU, memory) that each application can consume within your cluster This helps ensure that no single application monopolizes resources, affecting the performance of others-


NEW QUESTION # 248
What are the initial namespaces that Kubernetes starts with?

Answer: D

Explanation:
Kubernetes creates a set of namespaces by default when a cluster is initialized. The standard initial namespaces are default, kube-system, kube-public, and kube-node-lease, making A correct.
default is the namespace where resources are created if you don't specify another namespace. Many quick-start examples deploy here, though production environments typically use dedicated namespaces per app/team.
kube-system contains objects created and managed by Kubernetes system components (control plane add-ons, system Pods, controllers, DNS components, etc.). It's a critical namespace, and access is typically restricted.
kube-public is readable by all users (including unauthenticated users in some configurations) and is intended for public cluster information, though it's used sparingly in many environments.
kube-node-lease holds Lease objects used for node heartbeats. This improves scalability by reducing load on etcd compared to older heartbeat mechanisms and helps the control plane track node liveness efficiently.
The incorrect options contain non-standard namespace names like "system," "kube-main," or "kube-primary," and "kube-default" is not a real default namespace. Kubernetes' built-in namespace set is well-documented and consistent with typical cluster bootstraps.
Understanding these namespaces matters operationally: system workloads and controllers often live in kube-system, and many troubleshooting steps involve inspecting Pods and events there. Meanwhile, kube-node-lease is key to node health tracking, and default is the catch-all if you forget to specify -n.
So, the verified answer is A: default, kube-system, kube-public, kube-node-lease.


NEW QUESTION # 249
......

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