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Linux Foundation KCNA Exam Syllabus Topics:

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

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Linux Foundation KCNA Practice Exams (Web-Based & Desktop) Software

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q30-Q35):

NEW QUESTION # 30
Notary and the update framework leading security projects in CNCF

Answer: A

Explanation:
https://github.com/cncf/landscape#trail-map


NEW QUESTION # 31
You are deploying a multi-container pod with each container requiring different resource limits. What Kubernetes resource allows you to define these individual limits?

Answer: D

Explanation:
The 'PodSpec' allows you to define resources for each container within the pod- You can specify 'requests' and 'limits' for CPU and memory resources, ensuring that each container receives the appropriate resources- ResourceQuota and LimitRange are used for enforcing resource usage limits across multiple pods, not within a single.


NEW QUESTION # 32
What is the role of the ingressClassName field in a Kubernetes Ingress resource?

Answer: B

Explanation:
The ingressClassName field specifies which Ingress Controller is responsible for processing and implementing the rules defined in the Ingress resource, enabling multiple controllers to coexist in the same cluster.


NEW QUESTION # 33
What Kubernetes component handles network communications inside and outside of a cluster, using operating system packet filtering if available?

Answer: C


NEW QUESTION # 34
Which Kubernetes resource workload ensures that all (or some) nodes run a copy of a Pod?

Answer: B

Explanation:
A DaemonSet is the workload controller that ensures a Pod runs on all nodes or on a selected subset of nodes, so A is correct. DaemonSets are used for node-level agents and infrastructure components that must be present everywhere-examples include log collectors, monitoring agents, storage daemons, CNI components, and node security tools.
The DaemonSet controller watches for node additions/removals. When a new node joins the cluster, Kubernetes automatically schedules a new DaemonSet Pod onto that node (subject to constraints such as node selectors, affinities, and taints/tolerations). When a node is removed, its DaemonSet Pod naturally disappears with it. This creates the "one per node" behavior that differentiates DaemonSets from other workload types.
A Deployment manages a replica count across the cluster, not "one per node." A StatefulSet manages stable identity and ordered operations for stateful replicas; it does not inherently map one Pod to every node. kubectl is a CLI tool and not a workload resource.
DaemonSets can also be scoped: by using node selectors, node affinity, and tolerations, you can ensure Pods run only on GPU nodes, only on Linux nodes, only in certain zones, or only on nodes with a particular label. That's why the question says "all (or some) nodes." Therefore, the correct and verified answer is DaemonSet (A).
________________________________________


NEW QUESTION # 35
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