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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Cloud Native Observability8%- Monitoring and Metrics
  • 1. Dashboards and Visualization (Grafana)
  • 2. Prometheus and Metrics Collection
- Logging
  • 1. Kubernetes Logging Architecture
  • 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Tracing
  • 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
Topic 2: Kubernetes Fundamentals46%- Kubernetes API
  • 1. Declarative Management (Manifests/YAML)
  • 2. API Resource Structure and Versioning
- Scheduling
  • 1. Node Selection and Affinity
  • 2. Taints and Tolerations
  • 3. Resource Requests and Limits
- 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 Images and Registries
  • 3. Container Runtime Interface (CRI)
- Kubernetes Resources
  • 1. Networking Resources (Services, Ingress)
  • 2. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
  • 3. Configuration Resources (ConfigMaps, Secrets)
Topic 3: Container Orchestration22%- Storage
  • 1. Volumes, PersistentVolumes (PV), PersistentVolumeClaims (PVC)
  • 2. Storage Classes and Dynamic Provisioning
- Networking
  • 1. Kubernetes Networking Model
  • 2. CoreDNS and Service Networking
- Orchestration Fundamentals
  • 1. Self-healing and Rolling Updates
  • 2. Scheduling and Resource Management
  • 3. Service Discovery and Load Balancing
- Container Runtimes
  • 1. Docker, containerd, CRI-O
- Security
  • 1. RBAC (Role-Based Access Control)
  • 2. Pod Security Standards (Admission Control)
  • 3. Network Policies
- Service Mesh
  • 1. Sidecar Pattern and Traffic Management
  • 2. Service Mesh Concepts (Istio, Linkerd)
Topic 4: Cloud Native Application Delivery8%- Deployment Strategies
  • 1. Blue/Green, Canary, Rolling Updates
- CI/CD
  • 1. Artifact Management and Image Registries
  • 2. Continuous Integration and Continuous Delivery Pipelines
- GitOps
  • 1. GitOps Principles and Workflow
  • 2. Tools (Argo CD, Flux)
Topic 5: Cloud Native Architecture16%- Cloud Native Landscape
  • 1. CNCF Project Categories (Sandbox, Incubating, Graduated)
  • 2. CNCF Role and Governance
- 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. Serverless and FaaS
  • 3. Microservices Architecture
  • 4. Elasticity and Resilience

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q129-Q134):

NEW QUESTION # 129
Which of these events will cause the kube-scheduler to assign a Pod to a node?

Answer: C


NEW QUESTION # 130
Which is an industry-standard container runtime with an "emphasis" on simplicity, robustness, and portability?

Answer: B


NEW QUESTION # 131
The IPv4/IPv6 dual stack in Kubernetes:

Answer: C

Explanation:
The correct answer is D: Kubernetes dual-stack support allows you to create Services (and Pods, depending on configuration) that use both IPv4 and IPv6 addressing. Dual-stack means the cluster is configured to allocate and route traffic for both IP families. For Services, this can mean assigning both an IPv4 ClusterIP and an IPv6 ClusterIP so clients can connect using either family, depending on their network stack and DNS resolution.
Option A is incorrect because dual-stack is not about protocol translation (that would be NAT64/other gateway mechanisms, not the core Kubernetes dual-stack feature). Option B is also a form of translation
/aliasing that isn't what Kubernetes dual-stack implies; having both addresses available is different from
"access IPv4 via IPv6." Option C is incorrect: dual-stack does not inherently require NetworkPolicies to
"prevent mixing requests." NetworkPolicies are about traffic control, not IP family separation.
In Kubernetes, dual-stack requires support across components: the network plugin (CNI) must support IPv4
/IPv6, the cluster must be configured with both Pod CIDRs and Service CIDRs, and DNS should return appropriate A and AAAA records for Service names. Once configured, you can specify preferences such as ipFamilyPolicy (e.g., PreferDualStack) and ipFamilies (IPv4, IPv6 order) for Services to influence allocation behavior.
Operationally, dual-stack is useful for environments transitioning to IPv6, supporting IPv6-only clients, or running in mixed networks. But it adds complexity: address planning, firewalling, and troubleshooting need to consider two IP families. Still, the definition in the question is straightforward: Kubernetes dual-stack enables dual-stack Services, which is option D.
=========


NEW QUESTION # 132
What does "Continuous Integration" mean?

Answer: A


NEW QUESTION # 133
Which mechanism can be used to automatically adjust the amount of resources for an application?

Answer: D

Explanation:
The Horizontal Pod Autoscaler automatically adjusts the number of pod replicas based on observed CPU utilization or other select metrics to scale application resources dynamically.


NEW QUESTION # 134
......

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