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Linux Foundation KCNA Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Kubernetes Fundamentals46%- Kubernetes Architecture
  • 1. Worker Node Components (Kubelet, Kube-proxy, Container Runtime)
  • 2. Control Plane Components (API Server, etcd, Scheduler, Controller Manager)
- Scheduling
  • 1. Resource Requests and Limits
  • 2. Node Selection and Affinity
  • 3. Taints and Tolerations
- Containers
  • 1. Container Images and Registries
  • 2. Basic kubectl Commands
  • 3. Container Runtime Interface (CRI)
- Kubernetes API
  • 1. API Resource Structure and Versioning
  • 2. Declarative Management (Manifests/YAML)
- Kubernetes Resources
  • 1. Configuration Resources (ConfigMaps, Secrets)
  • 2. Networking Resources (Services, Ingress)
  • 3. Workload Resources (Pods, Deployments, StatefulSets, DaemonSets, ReplicaSets, Jobs, CronJobs)
Topic 2: Container Orchestration22%- Orchestration Fundamentals
  • 1. Service Discovery and Load Balancing
  • 2. Scheduling and Resource Management
  • 3. Self-healing and Rolling Updates
- Security
  • 1. Pod Security Standards (Admission Control)
  • 2. RBAC (Role-Based Access Control)
  • 3. Network Policies
- 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
- Container Runtimes
  • 1. Docker, containerd, CRI-O
- Networking
  • 1. CoreDNS and Service Networking
  • 2. Kubernetes Networking Model
Topic 3: Cloud Native Observability8%- Logging
  • 1. Kubernetes Logging Architecture
  • 2. Centralized Logging (Fluentd, Elasticsearch, Kibana)
- Tracing
  • 1. Distributed Tracing Concepts (OpenTelemetry, Jaeger)
- Monitoring and Metrics
  • 1. Dashboards and Visualization (Grafana)
  • 2. Prometheus and Metrics Collection
Topic 4: Cloud Native Architecture16%- Architecture Concepts
  • 1. Microservices Architecture
  • 2. Autoscaling (HPA, VPA, Cluster Autoscaler)
  • 3. Serverless and FaaS
  • 4. Elasticity and Resilience
- Infrastructure and Practices
  • 1. DevOps Practices and Culture
  • 2. Immutable Infrastructure
  • 3. Infrastructure as Code (IaC)
- Cloud Native Landscape
  • 1. CNCF Role and Governance
  • 2. CNCF Project Categories (Sandbox, Incubating, Graduated)
Topic 5: 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)

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q342-Q347):

NEW QUESTION # 342
Why do administrators need a container orchestration tool?

Answer: D

Explanation:
The correct answer is A. Container orchestration exists because running containers at scale is hard: you need to schedule workloads onto machines, keep them healthy, scale them up and down, roll out updates safely, and recover from failures automatically. Administrators (and platform teams) use orchestration tools like Kubernetes to manage the lifecycle of many containers across many nodes-handling placement, restart, rescheduling, networking/service discovery, and desired-state reconciliation.
At small scale, you can run containers manually or with basic scripts. But at "elevated" scale (many services, many replicas, many nodes), manual management becomes unreliable and brittle. Orchestration provides primitives and controllers that continuously converge actual state toward desired state: if a container crashes, it is restarted; if a node dies, replacement Pods are scheduled; if traffic increases, replicas can be increased via autoscaling; if configuration changes, rolling updates can be coordinated with readiness checks.
Option B (security risk assessment) is important, but it's not why orchestration tools exist. Image scanning and supply-chain security are typically handled by CI/CD tooling and registries, not by orchestration as the primary purpose. Option C is a separate architectural modernization effort; orchestration can support microservices, but it isn't required "to learn transformation." Option D is an opinion statement rather than a functional need.
So the core administrator need is lifecycle management at scale: ensuring workloads run reliably, predictably, and efficiently across a fleet. That is exactly what option A states.
=========


NEW QUESTION # 343
You are using Prometheus to monitor a microservices-based application. You want to create an alert that triggers when the average response time of a specific service exceeds 500 milliseconds for the last 5 minutes. What Prometheus query can achieve this?

Answer: E

Explanation:
The query •avg_over_time(http_request_duration_seconds{service=""}[5m]) > 0.5* calculates the average response time over the last 5 minutes for the specified service. If this average exceeds 0.5 seconds (500 milliseconds), the alert will trigger. The other options are not suitable for this specific scenario.


NEW QUESTION # 344
Which kubectlcommand is useful for collecting information about any type of resource that is active in a Kubernetes cluster?

Answer: C


NEW QUESTION # 345
In a cloud native environment, how do containerization and virtualization differ in terms of resource management?

Answer: C

Explanation:
Containerization shares the host operating system kernel while isolating applications at the process level, whereas virtualization runs a full guest operating system for each instance, resulting in higher resource overhead and less efficient resource utilization.


NEW QUESTION # 346
Which of the following best describes the way K8S Role-based access control (RBAC) works?

Answer: A

Explanation:
https://kubernetes.io/docs/reference/access-authn-authz/rbac/


NEW QUESTION # 347
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