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Linux Foundation KCNA Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Cloud Native Application Delivery	8%	- Delivery Models 1. CI/CD pipelines 2. GitOps principles - Deployment Strategies 1. Application lifecycle management 2. Rolling updates, canary releases
Topic 2: Kubernetes Fundamentals	46%	- Scheduling and Administration 1. Scheduler concepts 2. Basic kubectl operations - Kubernetes Core Concepts 1. Pods, Controllers, Services 2. API resources and objects 3. Cluster architecture and components - Containerization Basics 1. Images and registries 2. Containers vs VMs
Topic 3: Cloud Native Observability	8%	- Monitoring & Metrics 1. Tools and standards 2. Core observability signals - Logging & Tracing 1. Centralized logging 2. Distributed tracing basics
Topic 4: Container Orchestration	22%	- Networking & Storage 1. Persistent storage concepts 2. Cluster networking model - Orchestration Principles 1. Why orchestration matters 2. Runtime environments - Security & Troubleshooting 1. Security fundamentals 2. Basic troubleshooting methods
Topic 5: Cloud Native Architecture	16%	- 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 (Q159-Q164):

NEW QUESTION # 159
What can be used to create a job that will run at specified times/dates or on a repeating schedule?

A. CronJob
B. CalenderJob
C. BatchJob
D. Job

Answer: A

Explanation:
A CronJob in Kubernetes is designed to run jobs on a specified schedule, similar to the Unix cron utility, allowing execution at defined times or intervals.

NEW QUESTION # 160
Which of the following statements is correct concerning Open Policy Agent (OPA)?

A. Policies can only be tested when published.
B. The policies must be written in Python language.
C. It cannot be used outside Kubernetes.
D. Kubernetes can use it to validate requests and apply policies.

Answer: D

Explanation:
Open Policy Agent (OPA) is a general-purpose policy engine used to define and enforce policy across different systems. In Kubernetes, OPA is commonly integrated through admission control (often via Gatekeeper or custom admission webhooks) to validate and/or mutate requests before they are persisted in the cluster. This makes B correct: Kubernetes can use OPA to validate API requests and apply policy decisions.
Kubernetes' admission chain is where policy enforcement naturally fits. When a user or controller submits a request (for example, to create a Pod), the API server can call external admission webhooks. Those webhooks can evaluate the request against policy-such as "no privileged containers," "images must come from approved registries," "labels must include cost-center," or "Ingress must enforce TLS." OPA's policy language (Rego) allows expressing these rules in a declarative form, and the decision ("allow/deny" and sometimes patches) is returned to the API server. This enforces governance consistently and centrally.
Option A is incorrect because OPA policies are written in Rego, not Python. Option C is incorrect because policies can be tested locally and in CI pipelines before deployment; in fact, testability is a key advantage.
Option D is incorrect because OPA is designed to be platform-agnostic-it can be used with APIs, microservices, CI/CD pipelines, service meshes, and infrastructure tools, not only Kubernetes.
From a Kubernetes fundamentals view, OPA complements RBAC: RBAC answers "who can do what to which resources," while OPA-style admission policies answer "even if you can create this resource, does it meet our organizational rules?" Together they help implement defense in depth: authentication + authorization + policy admission + runtime security controls. That is why OPA is widely used to enforce security and compliance requirements in Kubernetes environments.
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NEW QUESTION # 161
What makes cloud native technology so important?

A. It helps gather software requirements
B. It makes data centric
C. It removes roadblocks to innovation
D. It makes operational centric
E. It strengthens team

Answer: C

Explanation:
https://github.com/cncf/foundation/blob/main/charter.md

NEW QUESTION # 162
Which command provides information about the field replicas within the spec resource of a deployment object?

A. kubectl get deployment.spec.replicas
B. kubectl describe deployment.spec.replicas
C. kubectl explain deployment.spec.replicas
D. kubectl explain deployment --spec.replicas

Answer: C

NEW QUESTION # 163
How do you deploy a workload to Kubernetes without additional tools?

A. Create a Python script and run it with kubectl.
B. Create a manifest and apply it with kubectl.
C. Create a Helm Chart and install it with helm.
D. Create a Bash script and run it on a worker node.

Answer: B

NEW QUESTION # 164
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