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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cloud Native Application Delivery8%- Delivery Models
  • 1. GitOps principles
    • 2. CI/CD pipelines
      - Deployment Strategies
      • 1. Application lifecycle management
        • 2. Rolling updates, canary releases
          Topic 2: Kubernetes Fundamentals46%- Scheduling and Administration
          • 1. Scheduler concepts
            • 2. Basic kubectl operations
              - Containerization Basics
              • 1. Images and registries
                • 2. Containers vs VMs
                  - Kubernetes Core Concepts
                  • 1. Cluster architecture and components
                    • 2. API resources and objects
                      • 3. Pods, Controllers, Services
                        Topic 3: Cloud Native Observability8%- Monitoring & Metrics
                        • 1. Tools and standards
                          • 2. Core observability signals
                            - Logging & Tracing
                            • 1. Centralized logging
                              • 2. Distributed tracing basics
                                Topic 4: Container Orchestration22%- Orchestration Principles
                                • 1. Runtime environments
                                  • 2. Why orchestration matters
                                    - Security & Troubleshooting
                                    • 1. Basic troubleshooting methods
                                      • 2. Security fundamentals
                                        - Networking & Storage
                                        • 1. Persistent storage concepts
                                          • 2. Cluster networking model
                                            Topic 5: Cloud Native Architecture16%- Ecosystem & Landscape
                                            • 1. Serverless, service mesh concepts
                                              • 2. CNCF projects overview
                                                - Cloud Native Principles
                                                • 1. Microservices design
                                                  • 2. 12-factor applications

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                                                    Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q193-Q198):

                                                    NEW QUESTION # 193
                                                    What is the primary purpose of Custom Resource Definitions (CRDs) in Kubernetes?

                                                    Answer: D

                                                    Explanation:
                                                    Custom Resource Definitions extend the Kubernetes API by allowing users to define and manage their own resource types, enabling Kubernetes to handle custom objects just like built-in resources.


                                                    NEW QUESTION # 194
                                                    A logging agent must be deployed to run on every node in a Kubernetes cluster. Which resource should be used to achieve this requirement?

                                                    Answer: A

                                                    Explanation:
                                                    A DaemonSet ensures that a copy of a Pod runs on every node (or a selected set of nodes), which is ideal for cluster-wide services like logging agents.


                                                    NEW QUESTION # 195
                                                    You are deploying a pod that requires access to a specific storage volume attached to a particular node. Which Kubernetes feature can you utilize to guarantee the pod is scheduled only on that specific node?

                                                    Answer: B,E

                                                    Explanation:
                                                    You can achieve this by using either •nodeAffinity• or •taints and tolerationS: 'nodeAffinity•• Similar to the previous question, define 'requiredDuringSchedulinglgnoredDuringExecution• to enforce scheduling on the specific node. 'Taints and TolerationS: Apply a taint on the specific node that reflects the volume availability. Then, configure the pod to tolerate that specific taint, ensuring it can only be scheduled on the node with the matching taint. While •podAffinity• and •podAntiAffinity' are useful for grouping or distributing pods, they do not directly guarantee scheduling on a specific node based on volume availability.


                                                    NEW QUESTION # 196
                                                    In the Kubernetes platform, which component is responsible for running containers?

                                                    Answer: B


                                                    NEW QUESTION # 197
                                                    What framework does Kubernetes use to authenticate users with JSON Web Tokens?

                                                    Answer: B

                                                    Explanation:
                                                    Kubernetes commonly authenticates users using OpenID Connect (OIDC) when JSON Web Tokens (JWTs) are involved, so A is correct. OIDC is an identity layer on top of OAuth 2.0 that standardizes how clients obtain identity information and how JWTs are issued and validated.
                                                    In Kubernetes, authentication happens at the API server. When OIDC is configured, the API server validates incoming bearer tokens (JWTs) by checking token signature and claims against the configured OIDC issuer and client settings. Kubernetes can use OIDC claims (such as sub, email, groups) to map the authenticated identity to Kubernetes RBAC subjects. This is how enterprises integrate clusters with identity providers such as Okta, Dex, Azure AD, or other OIDC-compliant IdPs.
                                                    Options B, C, and D are fabricated phrases and not real frameworks. Kubernetes documentation explicitly references OIDC as a supported method for token-based user authentication (alongside client certificates, bearer tokens, static token files, and webhook authentication). The key point is that Kubernetes does not "invent" JWT auth; it integrates with standard identity providers through OIDC so clusters can participate in centralized SSO and group-based authorization.
                                                    Operationally, OIDC authentication is typically paired with:
                                                    RBAC for authorization ("what you can do")
                                                    Audit logging for traceability
                                                    Short-lived tokens and rotation practices for security
                                                    Group claim mapping to simplify permission management
                                                    So, the verified framework Kubernetes uses with JWTs for user authentication is OpenID Connect.


                                                    NEW QUESTION # 198
                                                    ......

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