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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Kubernetes Fundamentals46%- Scheduling
  • 1. Resource Requests and Limits
  • 2. Taints and Tolerations
  • 3. Node Selection and Affinity
- Kubernetes API
  • 1. Declarative Management (Manifests/YAML)
  • 2. API Resource Structure and Versioning
- Kubernetes Architecture
  • 1. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
  • 2. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
- Containers
  • 1. Basic kubectl Commands
  • 2. Container Runtime Interface (CRI)
  • 3. Container Images and Registries
- Kubernetes Resources
  • 1. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
  • 2. Networking Resources (Services, Ingress)
  • 3. Configuration Resources (ConfigMaps, Secrets)
Cloud Native Observability8%- Logging
  • 1. Kubernetes Logging Architecture
  • 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Monitoring and Metrics
  • 1. Dashboards and Visualization (Grafana)
  • 2. Prometheus and Metrics Collection
- Tracing
  • 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
Cloud Native Application Delivery8%- Deployment Strategies
  • 1. Blue/Green, Canary, Rolling Updates
- GitOps
  • 1. Tools (Argo CD, Flux)
  • 2. GitOps Principles and Workflow
- CI/CD
  • 1. Continuous Integration and Continuous Delivery Pipelines
  • 2. Artifact Management and Image Registries
Cloud Native Architecture16%- Infrastructure and Practices
  • 1. DevOps Practices and Culture
  • 2. Infrastructure as Code (IaC)
  • 3. Immutable Infrastructure
- Architecture Concepts
  • 1. Autoscaling (HPA, VPA, Cluster Autoscaler)
  • 2. Microservices Architecture
  • 3. Serverless and FaaS
  • 4. Elasticity and Resilience
- Cloud Native Landscape
  • 1. CNCF Project Categories (Sandbox, Incubating, Graduated)
  • 2. CNCF Role and Governance
Container Orchestration22%- Container Runtimes
  • 1. Docker, containerd, CRI-O
- Orchestration Fundamentals
  • 1. Self-healing and Rolling Updates
  • 2. Service Discovery and Load Balancing
  • 3. Scheduling and Resource Management
- Storage
  • 1. Storage Classes and Dynamic Provisioning
  • 2. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
- Service Mesh
  • 1. Service Mesh Concepts (Istio, Linkerd)
  • 2. Sidecar Pattern and Traffic Management
- Networking
  • 1. Kubernetes Networking Model
  • 2. CoreDNS and Service Networking
- Security
  • 1. RBAC (Role-Based Access Control)
  • 2. Pod Security Standards (Admission Control)
  • 3. Network Policies

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q111-Q116):

NEW QUESTION # 111
Which group of container runtimes provides additional sandboxed isolation and elevated security?

Answer: D


NEW QUESTION # 112
What is a best practice to minimize the container image size?

Answer: D

Explanation:
A proven best practice for minimizing container image size is to use multi-stage builds, so B is correct. Multi-stage builds allow you to separate the "build environment" from the "runtime environment." In the first stage, you can use a full-featured base image (with compilers, package managers, and build tools) to compile your application or assemble artifacts. In the final stage, you copy only the resulting binaries or necessary runtime assets into a much smaller base image (for example, a distroless image or a slim OS image). This dramatically reduces the final image size because it excludes compilers, caches, and build dependencies that are not needed at runtime.
In cloud-native application delivery, smaller images matter for several reasons. They pull faster, which speeds up deployments, rollouts, and scaling events (Pods become Ready sooner). They also reduce attack surface by removing unnecessary packages, which helps security posture and scanning results. Smaller images tend to be simpler and more reproducible, improving reliability across environments.
Option A is not a size-minimization practice: using a Dockerfile is simply the standard way to define how to build an image; it doesn't inherently reduce size. Option C (different tags) changes image identification but not size. Option D (a build script) may help automation, but it doesn't guarantee smaller images; the image contents are determined by what ends up in the layers.
Multi-stage builds are commonly paired with other best practices: choosing minimal base images, cleaning package caches, avoiding copying unnecessary files (use .dockerignore), and reducing layer churn. But among the options, the clearest and most directly correct technique is multi-stage builds.
Therefore, the verified answer is B.


NEW QUESTION # 113
Which project is not a dominant CNCF project in the storage landscape?

Answer: A

Explanation:
https://github.com/cncf/landscape#trail-map


NEW QUESTION # 114
What is the purpose of the kube-proxy component in Kubernetes?

Answer: A

Explanation:
kube-proxy acts as a network proxy that enables communication between Pods and services within a Kubernetes cluster. It handles service discovery, load balancing, and network rules for Pods.


NEW QUESTION # 115
Which of the following container runtime is planned to be deprecated in Kubernetes 1.20 and high- er?

Answer: E


NEW QUESTION # 116
......

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