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Linux Foundation KCNA Exam Syllabus Topics:

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

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q146-Q151):

NEW QUESTION # 146
In Kubernetes, what is the primary responsibility of the kubelet running on each worker node?

Answer: A

Explanation:
The kubelet is the node-level agent responsible for ensuring that the containers described in Pod specifications are created, running, and kept in a healthy state on each worker node.


NEW QUESTION # 147
Which of the following best describes horizontally scaling an application deployment?

Answer: C


NEW QUESTION # 148
Which command is used to expose Kubernetes service

Answer: C

Explanation:
https://kubernetes.io/docs/reference/generated/kubectl/kubectl-commands#expose


NEW QUESTION # 149
What is a DaemonSet?

Answer: B

Explanation:
A DaemonSet ensures that a copy of a Pod runs on each node (or a selected subset of nodes), which matches option A and makes it correct. DaemonSets are ideal for node-level agents that should exist everywhere, such as log shippers, monitoring agents, CNI components, storage daemons, and security scanners.
DaemonSets differ from Deployments/ReplicaSets because their goal is not "N replicas anywhere," but "one replica per node" (subject to node selection). When nodes are added to the cluster, the DaemonSet controller automatically schedules the DaemonSet Pod onto the new nodes. When nodes are removed, the Pods associated with those nodes are cleaned up. You can restrict placement using node selectors, affinity rules, or tolerations so that only certain nodes run the DaemonSet (for example, only Linux nodes, only GPU nodes, or only nodes with a dedicated label).
Option B sounds like a ReplicaSet/Deployment behavior (stable set of replicas), not a DaemonSet. Option C describes CronJobs (scheduled, recurring run-to-completion workloads). Option D describes StatefulSets, which provide stable identity, ordering, and uniqueness guarantees for stateful replicas.
Operationally, DaemonSets matter because they often run critical cluster services. During maintenance and upgrades, DaemonSet update strategy determines how those node agents roll out across the fleet. Since DaemonSets can tolerate taints (like master/control-plane node taints), they can also be used to ensure essential agents run across all nodes, including special pools. Thus, the correct definition is A.
=========


NEW QUESTION # 150
The Container Runtime Interface (CRI) defines the protocol for the communication between:

Answer: A


NEW QUESTION # 151
......

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