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Linux Foundation KCNA Exam Syllabus Topics:

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

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                                                    Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q79-Q84):

                                                    NEW QUESTION # 79
                                                    How does dynamic storage provisioning work?

                                                    Answer: B


                                                    NEW QUESTION # 80
                                                    In a serverless computing architecture:

                                                    Answer: B

                                                    Explanation:
                                                    Serverless architectures typically bill based on actual consumption, often measured as number of requests and execution duration (and sometimes memory/CPU allocated), so A is correct. The defining trait is that you don't provision or manage servers directly; the platform scales execution up and down automatically, including down to zero for many models, and charges you for what you use.
                                                    Option B is incorrect: many serverless platforms can run container-based workloads (and some are explicitly "serverless containers"). The idea is the operational abstraction and billing model, not incompatibility with containers. Option C is incorrect because "making a reservation based on estimation" describes reserved capacity purchasing, which is the opposite of the typical serverless pay-per-use model. Option D is misleading: serverless systems aim to avoid charging for idle compute; while platforms may keep some warm capacity for latency reasons, the customer-facing model is not "containers running idle in the background." In cloud-native architecture, serverless is often chosen for spiky, event-driven workloads where you want minimal ops overhead and cost efficiency at low utilization. It pairs naturally with eventing systems (queues, pub/sub) and can be integrated with Kubernetes ecosystems via event-driven autoscaling frameworks or managed serverless offerings.
                                                    So the correct statement is A: charging is commonly based on requests (and usage), which captures the cost and operational model that differentiates serverless from always-on infrastructure.


                                                    NEW QUESTION # 81
                                                    You need to restrict the resources available to pods deployed within a specific namespace. What Kubernetes resource should you use?

                                                    Answer: D

                                                    Explanation:
                                                    ResourceQuota is used to restrict the resources available to pods within a namespace. You can set limits on CPU, memory, storage, and other resources to prevent resource exhaustion. LimitRange is used to set minimum and maximum limits for resources that apply to all pods in a namespace, but not to restrict the total resources used. The other options are not relevant to resource restriction: PodSecurityPolicy restricts security settings, NetworkPolicy manages network traffic, and ServiceAccount provides identity and credentials for pods.


                                                    NEW QUESTION # 82
                                                    What is FinOps?

                                                    Answer: B

                                                    Explanation:
                                                    https://www.servicenow.com/products/it-asset-management/what-is-finops.html


                                                    NEW QUESTION # 83
                                                    Which of the following systems is NOT compatible with the CRI runtime interface standard?
                                                    (Typo corrected: "CRI-0" โ†’ "CRI-O")

                                                    Answer: D

                                                    Explanation:
                                                    Kubernetes uses the Container Runtime Interface (CRI) to support pluggable container runtimes. The kubelet talks to a CRI-compatible runtime via gRPC, and that runtime is responsible for pulling images and running containers. In this context, containerd and CRI-O are CRI-compatible container runtimes (or runtime stacks) used widely with Kubernetes, and dockershim historically served as a compatibility layer that allowed kubelet to talk to Docker Engine as if it were CRI (before dockershim was removed from kubelet in newer Kubernetes versions). That leaves systemd as the correct "NOT compatible with CRI" answer, so C is correct.
                                                    systemd is an init system and service manager for Linux. While it can be involved in how services (like kubelet) are started and managed on the host, it is not a container runtime implementing CRI. It does not provide CRI gRPC endpoints for kubelet, nor does it manage containers in the CRI sense.
                                                    The deeper Kubernetes concept here is separation of responsibilities: kubelet is responsible for Pod lifecycle at the node level, but it delegates "run containers" to a runtime via CRI. Runtimes like containerd and CRI-O implement that contract; Kubernetes can swap them without changing kubelet logic. Historically, dockershim translated kubelet's CRI calls into Docker Engine calls. Even though dockershim is no longer part of kubelet, it was still "CRI-adjacent" in purpose and often treated as compatible in older curricula.
                                                    Therefore, among the provided options, systemd is the only one that is clearly not a CRI-compatible runtime system, making C correct.


                                                    NEW QUESTION # 84
                                                    ......

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