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| Section | Weight | Objectives |
|---|
| Topic 1: Kubernetes Fundamentals | 46% | - Containerization Basics
- 1. Containers vs VMs
- 2. Images and registries
- 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
|
| Topic 2: Cloud Native Observability | 8% | - Logging & Tracing
- 1. Centralized logging
- 2. Distributed tracing basics
- Monitoring & Metrics
- 1. Core observability signals
- 2. Tools and standards
|
| Topic 3: Cloud Native Application Delivery | 8% | - Delivery Models
- 1. GitOps principles
- 2. CI/CD pipelines
- Deployment Strategies
- 1. Application lifecycle management
- 2. Rolling updates, canary releases
|
| Topic 4: Cloud Native Architecture | 16% | - Cloud Native Principles
- 1. Microservices design
- 2. 12-factor applications
- Ecosystem & Landscape
- 1. CNCF projects overview
- 2. Serverless, service mesh concepts
|
| Topic 5: Container Orchestration | 22% | - Networking & Storage
- 1. Persistent storage concepts
- 2. Cluster networking model
- Security & Troubleshooting
- 1. Basic troubleshooting methods
- 2. Security fundamentals
- Orchestration Principles
- 1. Runtime environments
- 2. Why orchestration matters
|
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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q208-Q213):
NEW QUESTION # 208
Which cloud native tool keeps Kubernetes clusters in sync with sources of configuration (like Git repositories), and automates updates to configuration when there is new code to deploy?
- A. Linkerd and Istio
- B. GitOps Toolkit
- C. Flux and ArgoCD
- D. Helm and Kustomize
Answer: C
Explanation:
Tools that continuously reconcile cluster state to match a Git repository's desired configuration are GitOps controllers, and the best match here is Flux and ArgoCD, so A is correct. GitOps is the practice where Git is the source of truth for declarative system configuration. A GitOps tool continuously compares the desired state (manifests/Helm/Kustomize outputs stored in Git) with the actual state in the cluster and then applies changes to eliminate drift.
Flux and Argo CD both implement this reconciliation loop. They watch Git repositories, detect updates (new commits/tags), and apply the updated Kubernetes resources. They also surface drift and sync status, enabling auditable, repeatable deployments and easy rollbacks (revert Git). This model improves delivery velocity and security because changes flow through code review, and cluster changes can be restricted to the GitOps controller identity rather than ad-hoc human kubectl access.
Option B ("GitOps Toolkit") is related-Flux uses a GitOps Toolkit internally-but the question asks for a "tool" that keeps clusters in sync; the recognized tools are Flux and Argo CD in this list. Option C lists service meshes (traffic/security/telemetry), not deployment synchronization tools. Option D lists packaging/templating tools; Helm and Kustomize help build manifests, but they do not, by themselves, continuously reconcile cluster state to a Git source.
In Kubernetes application delivery, GitOps tools become the deployment engine: CI builds artifacts, updates references in Git (image tags/digests), and the GitOps controller deploys those changes. This separation strengthens traceability and reduces configuration drift. Therefore, A is the verified correct answer.
NEW QUESTION # 209
How should folks new to the cloud native ecosystem, go about learning the different aspects of the ecosystem?
- A. by reading the Kubernetes documentation
- B. by signing up the CNCF slack
- C. by looking at the cloud native trail-map
- D. by looking at the cloud native landscape
Answer: C
Explanation:
https://github.com/cncf/landscape#trail-map
NEW QUESTION # 210
What does vertical scaling an application deployment describe best?
- A. The act of adding/removing node instances to the cluster to meet demand.
- B. The act of adding/removing resources to applications to meet demand.
- C. The act of adding/removing application instances of the same application to meet demand.
- D. The act of adding/removing applications to meet demand.
Answer: B
NEW QUESTION # 211
Which of the following is NOT a valid Kubernetes resource type?
- A. Service
- B. Database
- C. Ingress
- D. pod
- E. Deployment
Answer: B
Explanation:
Kubernetes manages containers and their orchestration. While it can interact with databases, Database' is not a native Kubernetes resource type. The other options (Pod, Deployment, Service, Ingress) are all core Kubernetes resources.
NEW QUESTION # 212
In a Kubernetes environment, which statement best describes the primary difference between blue-green and canary deployments?
- A. Canary deployments always replace the entire application in one step, while blue-green deployments proceed in multiple incremental phases.
- B. Canary deployments are designed mainly for rollback scenarios, while blue-green deployments are primarily used for introducing new feature releases.
- C. Blue-green deployments are generally considered faster than canary deployments since they avoid gradual monitoring and traffic shifting steps.
- D. Blue-green deployments run two environments side by side and switch traffic entirely, while canary deployments shift traffic gradually to a new version.
Answer: D
Explanation:
Blue-green deployment maintains separate current and new environments, then redirects all traffic to the new version at once. Canary deployment exposes the new version to a small portion of traffic first and increases that traffic gradually while performance and reliability are monitored.
NEW QUESTION # 213
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