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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Cloud Native Application Delivery8%- Deployment Strategies
  • 1. Application lifecycle management
    • 2. Rolling updates, canary releases
      - Delivery Models
      • 1. GitOps principles
        • 2. CI/CD pipelines
          Kubernetes Fundamentals46%- Scheduling and Administration
          • 1. Scheduler concepts
            • 2. Basic kubectl operations
              - Kubernetes Core Concepts
              • 1. Pods, Controllers, Services
                • 2. Cluster architecture and components
                  • 3. API resources and objects
                    - Containerization Basics
                    • 1. Images and registries
                      • 2. Containers vs VMs
                        Cloud Native Observability8%- Logging & Tracing
                        • 1. Centralized logging
                          • 2. Distributed tracing basics
                            - Monitoring & Metrics
                            • 1. Tools and standards
                              • 2. Core observability signals
                                Container Orchestration22%- Orchestration Principles
                                • 1. Runtime environments
                                  • 2. Why orchestration matters
                                    - Networking & Storage
                                    • 1. Persistent storage concepts
                                      • 2. Cluster networking model
                                        - Security & Troubleshooting
                                        • 1. Security fundamentals
                                          • 2. Basic troubleshooting methods
                                            Cloud Native Architecture16%- Ecosystem & Landscape
                                            • 1. Serverless, service mesh concepts
                                              • 2. CNCF projects overview
                                                - Cloud Native Principles
                                                • 1. 12-factor applications
                                                  • 2. Microservices design

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                                                    Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q274-Q279):

                                                    NEW QUESTION # 274
                                                    You are running a multi-cluster Kubernetes environment with Istio deployed. You want to enable mutual TLS authentication between services across different clusters. You have already configured Istio's 'mutualTLS' setting in the control plane. What additional step is required to enforce this security measure for inter-cluster communication?

                                                    Answer: D

                                                    Explanation:
                                                    While configuring 'mutualTLS' in the Istio control plane enables the security feature, you need to explicitly enable it for individual services by applying the 'istio.io/auth' annotation with 'peerAuthentication: mutualTLS: { mode. STRICT Y to each service. This ensures that services in both clusters will only communicate with each other over encrypted channels- Options B, C, D, and E are not directly related to enforcing mutual TLS authentication for inter-cluster communication.


                                                    NEW QUESTION # 275
                                                    What are container runtimes with Kubernetes?

                                                    Answer: A,B

                                                    Explanation:
                                                    https://kubernetes.io/docs/setup/production-environment/container-runtimes/


                                                    NEW QUESTION # 276
                                                    Which of the following are tasks performed by a container orchestration tool?

                                                    Answer: C

                                                    Explanation:
                                                    A container orchestration tool (like Kubernetes) is responsible for scheduling, scaling, and health management of workloads, making A correct. Orchestration sits above individual containers and focuses on running applications reliably across a fleet of machines. Scheduling means deciding which node should run a workload based on resource requests, constraints, affinities, taints/tolerations, and current cluster state. Scaling means changing the number of running instances (replicas) to meet demand (manually or automatically through autoscalers). Health management includes monitoring whether containers and Pods are alive and ready, replacing failed instances, and maintaining the declared desired state.
                                                    Options B and D include "create images" and "store images," which are not orchestration responsibilities. Image creation is a CI/build responsibility (Docker/BuildKit/build systems), and image storage is a container registry responsibility (Harbor, ECR, GCR, Docker Hub, etc.). Kubernetes consumes images from registries but does not build or store them. Option C includes "debug applications," which is not a core orchestration function. While Kubernetes provides tools that help debugging (logs, exec, events), debugging is a human/operator activity rather than the orchestrator's fundamental responsibility.
                                                    In Kubernetes specifically, these orchestration tasks are implemented through controllers and control loops: Deployments/ReplicaSets manage replica counts and rollouts, kube-scheduler assigns Pods to nodes, kubelet ensures containers run, and probes plus controller logic replace unhealthy replicas. This is exactly what makes Kubernetes valuable at scale: instead of manually starting/stopping containers on individual hosts, you declare your intent and let the orchestration system continually reconcile reality to match. That combination-placement + elasticity + self-healing-is the core of container orchestration, matching option A precisely.


                                                    NEW QUESTION # 277
                                                    Lightweight network proxies such as Envoy are part of which plane in a service mesh?

                                                    Answer: A

                                                    Explanation:
                                                    Lightweight proxies like Envoy run alongside application services and handle real-time traffic such as routing, load balancing, and observability, which are core responsibilities of the data plane in a service mesh.


                                                    NEW QUESTION # 278
                                                    How does dynamic storage provisioning work?

                                                    Answer: C

                                                    Explanation:
                                                    Dynamic provisioning is the Kubernetes mechanism where storage is created on-demand when a user creates a PersistentVolumeClaim (PVC) that references a StorageClass, so A is correct. In this model, the user does not need to pre-create a PersistentVolume (PV). Instead, the StorageClass points to a provisioner (typically a CSI driver) that knows how to create a volume in the underlying storage system (cloud disk, SAN, NAS, etc.). When the PVC is created with storageClassName: <class>, Kubernetes triggers the provisioner to create a new volume and then binds the resulting PV to that PVC.
                                                    This is why option B is incorrect: you do not put a StorageClass "in the Pod YAML" to request provisioning.
                                                    Pods reference PVCs, not StorageClasses directly. Option C is incorrect because the PVC does not need the Pod name; binding is done via the PVC itself. Option D describes static provisioning: an admin pre-creates PVs and users claim them by creating PVCs that match the PV (capacity, access modes, selectors). Static provisioning can work, but it is not dynamic provisioning.
                                                    Under the hood, the StorageClass can define parameters like volume type, replication, encryption, and binding behavior (e.g., volumeBindingMode: WaitForFirstConsumer to delay provisioning until the Pod is scheduled, ensuring the volume is created in the correct zone). Reclaim policies (Delete/Retain) define what happens to the underlying volume after the PVC is deleted.
                                                    In cloud-native operations, dynamic provisioning is preferred because it improves developer self-service, reduces manual admin work, and makes scaling stateful workloads easier and faster. The essence is: PVC + StorageClass # automatic PV creation and binding.
                                                    =========


                                                    NEW QUESTION # 279
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