Linux Foundation KCNA Vorbereitungsfragen & KCNA Deutsche

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Linux Foundation KCNA Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Native Observability	8%	- Tracing 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger) - Monitoring and Metrics 1. Prometheus and Metrics Collection 2. Dashboards and Visualization (Grafana) - Logging 1. Centralized Logging (Fluentd, Elasticsearch, Kibana) 2. Kubernetes Logging Architecture
Topic 2: Cloud Native Architecture	16%	- Cloud Native Landscape 1. CNCF Role and Governance 2. CNCF Project Categories (Sandbox, Incubating, Graduated) - Architecture Concepts 1. Elasticity and Resilience 2. Microservices Architecture 3. Serverless and FaaS 4. Autoscaling (HPA, VPA, Cluster Autoscaler) - Infrastructure and Practices 1. Immutable Infrastructure 2. DevOps Practices and Culture 3. Infrastructure as Code (IaC)
Topic 3: Container Orchestration	22%	- Orchestration Fundamentals 1. Scheduling and Resource Management 2. Self-healing and Rolling Updates 3. Service Discovery and Load Balancing - Container Runtimes 1. Docker, containerd, CRI-O - Storage 1. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC) 2. Storage Classes and Dynamic Provisioning - Service Mesh 1. Service Mesh Concepts (Istio, Linkerd) 2. Sidecar Pattern and Traffic Management - Networking 1. Kubernetes Networking Model 2. CoreDNS and Service Networking - Security 1. Pod Security Standards (Admission Control) 2. Network Policies 3. RBAC (Role-Based Access Control)
Topic 4: Kubernetes Fundamentals	46%	- Kubernetes API 1. API Resource Structure and Versioning 2. Declarative Management (Manifests/YAML) - Containers 1. Container Runtime Interface (CRI) 2. Container Images and Registries 3. Basic kubectl Commands - Kubernetes Resources 1. Networking Resources (Services, Ingress) 2. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs) 3. Configuration Resources (ConfigMaps, Secrets) - Scheduling 1. Resource Requests and Limits 2. Taints and Tolerations 3. Node Selection and Affinity - Kubernetes Architecture 1. Worker Node Components (Kubelet, Kube-proxy, Container Runtime) 2. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
Topic 5: Cloud Native Application Delivery	8%	- CI/CD 1. Artifact Management and Image Registries 2. Continuous Integration and Continuous Delivery Pipelines - Deployment Strategies 1. Blue/Green, Canary, Rolling Updates - GitOps 1. GitOps Principles and Workflow 2. Tools (Argo CD, Flux)

>> Linux Foundation KCNA Vorbereitungsfragen <<

Linux Foundation KCNA Deutsche - KCNA Prüfungs-Guide

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Linux Foundation Kubernetes and Cloud Native Associate KCNA Prüfungsfragen mit Lösungen (Q177-Q182):

177. Frage
Which statement is true about Pod Networking?

A. All pod requires NAT to get a unique IP address.
B. All pod requires an external DNS server to get the hostname
C. All containers in a pod share a single IP address
D. All containers in a pod get a unique IP address

Antwort: C

Begründung:
https://kubernetes.io/docs/concepts/workloads/pods/#pod-networking

178. Frage
The Kubernetes project work is carried primarily by SIGs. What does SIG stand for?

A. Software Installation Guide
B. Support and Information Group
C. Special Interest Group
D. Strategy Implementation Group

Antwort: C

Begründung:
In Kubernetes governance and project structure, SIG stands for Special Interest Group, so A is correct.
Kubernetes is a large open source project under the Cloud Native Computing Foundation (CNCF), and its work is organized into groups that focus on specific domains-such as networking, storage, node, scheduling, security, docs, testing, and many more. SIGs provide a scalable way to coordinate contributors, prioritize work, review design proposals (KEPs), triage issues, and manage releases in their area.
Each SIG typically has regular meetings, mailing lists, chat channels, and maintainers who guide the direction of that part of the project. For example, SIG Network focuses on Kubernetes networking architecture and components, SIG Storage on storage APIs and CSI integration, and SIG Scheduling on scheduler behavior and extensibility. This structure helps Kubernetes evolve while maintaining quality, review rigor, and community-driven decision making.
The other options are not part of Kubernetes project terminology. "Software Installation Guide" and the others might sound plausible, but they are not how Kubernetes defines SIGs.
Understanding SIGs matters operationally because many Kubernetes features and design changes originate from SIGs. When you read Kubernetes enhancement proposals, release notes, or documentation, you'll often see SIG ownership and references. In short, SIGs are the primary organizational units for Kubernetes engineering and stewardship, and SIG = Special Interest Group.

179. Frage
What is a probe within Kubernetes?

A. A monitoring mechanism of the Kubernetes API.
B. A logging mechanism of the Kubernetes API.
C. A pre-operational scope issued by the kubectl agent.
D. A diagnostic performed periodically by the kubelet on a container.

Antwort: D

Begründung:
In Kubernetes, a probe is a health check mechanism that the kubelet executes against containers, so C is correct. Probes are part of how Kubernetes implements self-healing and safe traffic management. The kubelet runs probes periodically according to the configuration in the Pod spec and uses the results to decide whether a container is healthy, ready to receive traffic, or still starting up.
Kubernetes supports three primary probe types:
Liveness probe: determines whether the container should be restarted. If liveness fails repeatedly, kubelet restarts the container (subject to restartPolicy).
Readiness probe: determines whether the Pod should receive traffic via Services. If readiness fails, the Pod is removed from Service endpoints, preventing traffic from being routed to it until it becomes ready again.
Startup probe: used for slow-starting containers. It disables liveness/readiness failures until startup succeeds, preventing premature restarts during initialization.
Probe mechanisms can be HTTP GET, TCP socket checks, or exec commands run inside the container. These checks are performed by kubelet on the node where the Pod is running, not by the API server.
Options A and D incorrectly attribute probes to the Kubernetes API. While probe configuration is stored in the API as part of Pod specs, execution is node-local. Option B is not a Kubernetes concept.
So the correct definition is: a probe is a periodic diagnostic run by kubelet to assess container health/readiness, enabling reliable rollouts, traffic gating, and automatic recovery.

180. Frage
Explain the difference between a Docker image and a Docker container. Provide practical scenarios where they are used.

A. Docker images and containers are the same thing, just different names.
B. A Docker container is a blueprint for creating an image, while an image is a running instance of that container.
C. Docker images are used for storing data, while containers are used for running applications.
D. A Docker image is a blueprint for creating a container, while a container is a running instance of that image.
E. Docker images are used for running applications, while containers are used for storing data.

Antwort: D

Begründung:
A Docker image is a static, immutable template that contains all the necessary components (files, libraries, dependencies, etc.) to run a specific application. Think of it as a blueprint. A Docker container is a running instance of that image, meaning it's an actual process running on your system. You can create multiple containers from the same image. Practical Scenarios: Image: You create a Docker image for a web server application, including the web server software, configuration files, and application code. This image can be shared with others or deployed to different environments. Container: You run multiple instances of this web server image as containers on your server. Each container gets its own isolated environment, allowing you to scale your web application easily.

181. Frage
What is the purpose of the kube-proxy?

A. The kube-proxy balances network requests to pods.
B. The kube-proxy maintains the DNS rules of the cluster.
C. The kube-proxy maintains network rules on nodes.
D. The kube-proxy ensures the cluster connectivity with internet.

Antwort: C

182. Frage
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