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Linux Foundation KCNA Exam Syllabus Topics:

Section	Weight	Objectives
Kubernetes Fundamentals	46%	- 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 Architecture 1. Control Plane Components (API Server, etcd, Scheduler, Controller Manager) 2. Worker Node Components (Kubelet, Kube-proxy, Container Runtime) - Kubernetes API 1. Declarative Management (Manifests/YAML) 2. API Resource Structure and Versioning - Containers 1. Container Runtime Interface (CRI) 2. Container Images and Registries 3. Basic kubectl Commands
Cloud Native Architecture	16%	- Cloud Native Landscape 1. CNCF Role and Governance 2. CNCF Project Categories (Sandbox, Incubating, Graduated) - Infrastructure and Practices 1. Infrastructure as Code (IaC) 2. Immutable Infrastructure 3. DevOps Practices and Culture - Architecture Concepts 1. Elasticity and Resilience 2. Autoscaling (HPA, VPA, Cluster Autoscaler) 3. Serverless and FaaS 4. Microservices Architecture
Cloud Native Application Delivery	8%	- GitOps 1. GitOps Principles and Workflow 2. Tools (Argo CD, Flux) - 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 Observability	8%	- Monitoring and Metrics 1. Dashboards and Visualization (Grafana) 2. Prometheus and Metrics Collection - Logging 1. Kubernetes Logging Architecture 2. Centralized Logging (Fluentd, Elasticsearch, Kibana) - Tracing 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
Container Orchestration	22%	- Storage 1. Storage Classes and Dynamic Provisioning 2. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC) - Security 1. Pod Security Standards (Admission Control) 2. RBAC (Role-Based Access Control) 3. Network Policies - Orchestration Fundamentals 1. Scheduling and Resource Management 2. Self-healing and Rolling Updates 3. Service Discovery and Load Balancing - Networking 1. Kubernetes Networking Model 2. CoreDNS and Service Networking - Container Runtimes 1. Docker, containerd, CRI-O - Service Mesh 1. Sidecar Pattern and Traffic Management 2. Service Mesh Concepts (Istio, Linkerd)

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q227-Q232):

NEW QUESTION # 227
Which of the following best describes a cloud-native app?

A. An application that publishes an HTTPS web front-end.
B. An application that leverages services that are native to public cloud platforms such as Azure, GCP, and/or AWS.
C. An application that takes advantages of cloud computing fromworks and their loosely coupled cloud services.
D. An application where all logic is coded into a single large binary.

Answer: C

Explanation:
Cloud-native apps leverage cloud computing frameworks and tend to be microservices based, where individual components of the app are coded as individual.

NEW QUESTION # 228
Which of the following is NOT a Kubernetes component?

A. Kube-proxy
B. Cloud Controller manager
C. Scheduler
D. Docker

Answer: D

Explanation:
Docker is not a Kubernetes component.

NEW QUESTION # 229
What do GitOps tools do in kubernetes?

A. They allow us to store software code in Git
B. They manage the source code of kubernetes itself
C. They allow us to make changes to a kubernetes cluster using a Git repository
D. They allows us to store container images in repositories

Answer: C

Explanation:
https://fluxcd.io/docs/components/

NEW QUESTION # 230
What is a Dockerfile?

A. A config file that defines which image registry a container should be pushed to.
B. A text file that contains all the commands a user could call on the command line to assemble an image.
C. An image layer created by a running container stored on the host.
D. A bash script that is used to automatically build a docker image.

Answer: B

Explanation:
A Dockerfile is a text file that contains a sequence of instructions used to build a container image, so C is correct. These instructions include choosing a base image (FROM), copying files (COPY/ADD), installing dependencies (RUN), setting environment variables (ENV), defining working directories (WORKDIR), exposing ports (EXPOSE), and specifying the default startup command (CMD/ENTRYPOINT). When you run docker build (or compatible tools like BuildKit), the builder executes these instructions to produce an image composed of immutable layers.
In cloud-native application delivery, Dockerfiles (more generally, OCI image build definitions) are a key step in the supply chain. The resulting image artifact is what Kubernetes runs in Pods. Best practices include using minimal base images, pinning versions, avoiding embedding secrets, and using multi-stage builds to keep runtime images small. These practices improve security and performance, and make delivery pipelines more reliable.
Option A is incorrect because a Dockerfile is not a bash script, even though it can run shell commands through RUN. Option B is incorrect because registry destinations are handled by tooling and tagging/push commands (or CI pipeline configuration), not by the Dockerfile itself. Option D is incorrect because an image layer created by a running container is more closely related to container filesystem changes and commits; a Dockerfile is the build recipe, not a runtime-generated layer.
Although the question uses "Dockerfile," the concept maps well to OCI-based container image creation generally: you define a reproducible build recipe that produces an immutable image artifact. That artifact is then versioned, scanned, signed, stored in a registry, and deployed to Kubernetes through manifests/Helm/GitOps. Therefore, C is the correct and verified definition.

NEW QUESTION # 231
What is scheduling in Kubernetes

A. Determining when to execute a cron-job
B. Joining a new nodes to the clusters
C. Assigning pods to nodes
D. Setting a time for automated tasks

Answer: C

Explanation:
https://kubernetes.io/docs/concepts/scheduling-eviction/

NEW QUESTION # 232
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