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Linux Foundation KCNA Exam Syllabus Topics:

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

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q88-Q93):

NEW QUESTION # 88
Your application requires specific network configurations for its pods, including custom DNS settings and network namespaces. How can you achieve this in Kubernetes?

A. Modify the Kubernetes API server's network configuration settings.
B. Use a DaemonSet to deploy a network configuration agent on each node.
C. Create a custom network plugin and integrate it with Kubernetes-
D. Configure a Pod's security context with specific network settings.
E. Use a NetworkPolicy to define custom network rules for the pods.

Answer: C

Explanation:
The correct answer is 'Create a custom network plugin and integrate it with Kubernetes'. Kubernetes allows you to extend its networking functionality by developing and integrating custom network plugins. These plugins can provide advanced network configurations, including custom DNS settings, network namespaces, and other specific network requirements. Options A, B, C, and E are not suitable for this scenario. 'NetworkPolicy' is used for network access control, 'Pod security context' defines security settings for a pod, 'DaemonSet' is used for deploying agents on nodes, and modifying the API server's network settings can affect the entire cluster's network configuration.

NEW QUESTION # 89
What is not semantic versioning?

A. 1.0.0-beta.2
B. 1.0.0
C. 2022-05-04
D. 1.0.0-alpha

Answer: C

Explanation:
https://semver.org/
RegEx SemVer at https://regex101.com/r/vkijKf/1/

NEW QUESTION # 90
What is a key feature of a container network?

A. Allowing containers running on separate hosts to communicate.
B. Caching remote disk access.
C. Proxying REST requests across a set of containers.
D. Allowing containers on the same host to communicate.

Answer: A

Explanation:
A defining requirement of container networking in orchestrated environments is enabling workloads to communicate across hosts, not just within a single machine. That's why B is correct: a key feature of a container network is allowing containers (Pods) running on separate hosts to communicate.
In Kubernetes, this idea becomes the Kubernetes network model: every Pod gets an IP address, and Pods should be able to communicate with other Pods across nodes without needing NAT (depending on implementation details). Achieving that across a cluster requires a networking layer (typically implemented by a CNI plugin) that can route traffic between nodes so that Pod-to-Pod communication works regardless of placement. This is crucial because schedulers dynamically place Pods; you cannot assume two communicating components will land on the same node.
Option C is true in a trivial sense-containers on the same host can communicate-but that capability alone is not the key feature that makes orchestration viable at scale. Cross-host connectivity is the harder and more essential property. Option A describes application-layer behavior (like API gateways or reverse proxies) rather than the foundational networking capability. Option D describes storage optimization, unrelated to container networking.
From a cloud native architecture perspective, reliable cross-host networking enables microservices patterns, service discovery, and distributed systems behavior. Kubernetes Services, DNS, and NetworkPolicies all depend on the underlying ability for Pods across the cluster to send traffic to each other. If your container network cannot provide cross-node routing and reachability, the cluster behaves like isolated islands and breaks the fundamental promise of orchestration: "schedule anywhere, communicate consistently."

NEW QUESTION # 91
How can a Pod be configured to use a ServiceAccount for authenticated API access?

A. By specifying the ServiceAccount name in the Pod specs, Kubernetes mounts its token as a volume.
B. By attaching the ServiceAccount directly to the kube-scheduler to change how the Pod is scheduled.
C. By converting the ServiceAccount into a ConfigMap that the Pod consumes as environment variables.
D. By embedding the ServiceAccount token inside the container image at build time.

Answer: A

Explanation:
Specifying a ServiceAccount in the Pod specification causes Kubernetes to automatically mount its authentication token into the Pod, enabling the application to securely access the API.

NEW QUESTION # 92
An administrator needs to ensure Pods in the test namespace follow Kubernetes Pod Security Standards to prevent unsafe configurations. The goal is to enforce the Restricted policy. Which action should be taken?

A. Set the PodSecurityStandard annotation on each Pod in the test namespace.
B. Update the RoleBindings for the test namespace to limit access to specific users.
C. Apply a PodSecurityAdmission configuration with the Restricted standard to the test namespace.
D. Create a NetworkPolicy that restricts access to Pods in the test namespace.

Answer: C

Explanation:
Applying a PodSecurityAdmission configuration with the Restricted standard at the namespace level enforces Kubernetes Pod Security Standards for all Pods in the test namespace, preventing unsafe configurations by blocking noncompliant Pod specifications at admission time.

NEW QUESTION # 93
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