Note_Tech

All technological notes.

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CKA - Exame

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Exam Details

• The exams are delivered online and consist of performance-based tasks (problems) to be solved on the command line running Linux.
• The exams consist of 15-20 performance-based tasks.
• Candidates have 2 hours to complete the CKA and CKAD exam.
• The exams are proctored remotely via streaming audio, video, and screen sharing feeds.

• Results will be emailed 24 hours from the time that the exam is completed.

• https://syscheck.bridge.psiexams.com/

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Resources Allowed

• Kubernetes Documentation: https://kubernetes.io/docs
  • Note that using the search function on https://kubernetes.io/docs/ is allowed, but you must not open external search results.
• Kubernetes Blog https://kubernetes.io/blog/
• Helm Documentation https://helm.sh/docs
• Task-specific documentation provided in the Quick Reference box. This includes links to documentation for various tools that might be needed to solve a task.
• CKA only: Gateway API Documentation https://gateway-api.sigs.k8s.io

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CKA - Curriculum

20% - Servicing and Networking

• Understand connectivity between Pods
• Define and enforce Network Policies
• Use ClusterIP, NodePort, LoadBalancer service types and endpoints
• Use the Gateway API to manage Ingress traffic
• Know how to use Ingress controllers and Ingress resources
• Understand and use CoreDNS

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25% - Cluster Architecture, Installation and Configuration

• Manage role based access control (RBAC)
• Prepare underlying infrastructure for installing a Kubernetes cluster
• Create and manage Kubernetes clusters using kubeadm
• Manage the lifecycle of Kubernetes clusters
• Implement and configure a highly-available control plane
  • https://kubernetes.io/docs/setup/production-environment/tools/kubeadm/high-availability/
• Use Helm and Kustomize to install cluster components
• Understand extension interfaces (CNI, CSI, CRI, etc.)
• Understand CRDs, install and configure operators

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10% - Storage

• Implement storage classes and dynamic volume provisioning
• Configure volume types, access modes and reclaim policies
• Manage persistent volumes and persistent volume claims

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15% - Workloads and Scheduling

• Understand application deployments and how to perform rolling update and rollbacks
• Use ConfigMaps and Secrets to configure applications
• Configure workload autoscaling
• Understand the primitives used to create robust, self-healing, application deployments
• Configure Pod admission and scheduling (limits, node affinity, etc.)

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30% - Troubleshooting

• Troubleshoot clusters and nodes
• Troubleshoot cluster components
• Monitor cluster and application resource usage
• Manage and evaluate container output streams
• Troubleshoot services and networking