Linux Foundation KCNA New Learning Materials - KCNA Reliable Test Cost

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

>> Linux Foundation KCNA New Learning Materials <<

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q169-Q174):

NEW QUESTION # 169
You want to configure a CI/CD pipeline to deploy a microservice to Kubernetes. Which of the following steps are essential in the pipeline?

Answer: A,B,C,D

Explanation:
All the listed steps are essential for a robust CIICD pipeline. Building the container image encapsulates your application, pushing it to a registry ensures easy access, applying Kubernetes configurations defines the deployment, and automated tests validate the application's functionality before deployment.


NEW QUESTION # 170
You are running a production-critical application on Kubernetes. You need to ensure that if a pod fails, a new pod is automatically created to replace it. Which Kubernetes feature accomplishes this automatic pod replacement?

Answer: E

Explanation:
Deployments are Kubernetes resources designed to manage the lifecycle of pods. They provide features like rolling updates, automatic restarts, and self-healing. When a pod fails, the Deployment controller detects the failure and automatically creates a new pod to replace it, ensuring high availability.


NEW QUESTION # 171
What is Helm?

Answer: C


NEW QUESTION # 172
Which control plane component is responsible for scheduling pods?

Answer: C

Explanation:
https://kubernetes.io/docs/concepts/overview/components/


NEW QUESTION # 173
In distributed system tracing, is the term used to refer to a request as it passes through a single com-ponent of the distributed system?

Answer: A

Explanation:
https://www.splunk.com/en_us/data-insider/what-is-distributed-tracing.html


NEW QUESTION # 174
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