CNCF / Linux Foundation
Prove proficiency in cluster installation, configuration, administration, and workload management for Kubernetes.
Avg Salary
$148k/yr
Difficulty
Advanced
Prep Time
~160h
Exam Cost
$395
Skills Covered
Questions
17
Duration
120 min
Pass Score
66%
Format
Performance-based (hands-on terminal tasks)
Cluster Architecture, Installation & Configuration
6 objectives
Manage role-based access control (RBAC) — create roles, ClusterRoles, bindings.
Use Kubeadm to install a basic cluster and join worker nodes.
Manage a highly available Kubernetes cluster (stacked etcd, external etcd).
Provision underlying infrastructure for deploying a Kubernetes cluster.
Perform a version upgrade on a Kubernetes cluster using Kubeadm.
Implement etcd backup and restore procedures.
Workloads & Scheduling
6 objectives
Understand Deployments and how to perform rolling updates and rollbacks.
Use ConfigMaps and Secrets to configure applications.
Know how to scale applications manually and with HorizontalPodAutoscaler.
Understand primitives to create robust, self-healing application deployments (liveness, readiness, startup probes).
Understand how resource limits and requests affect Pod scheduling.
Awareness of manifest management with Helm or Kustomize.
Services & Networking
5 objectives
Understand connectivity between Pods and how to troubleshoot networking issues.
Understand ClusterIP, NodePort, LoadBalancer, and ExternalName service types.
Know how to use Ingress controllers and Ingress resources.
Know how to configure and use CoreDNS.
Choose an appropriate container network interface plugin for a given scenario.
Storage
4 objectives
Understand storage classes and persistent volume claim lifecycle.
Understand volume modes, access modes, and reclaim policies for persistent volumes.
Configure applications with persistent storage using PVs and PVCs.
Know how to expand persistent volumes and configure volume snapshots.
Troubleshooting
6 objectives
Evaluate cluster and node logging to identify issues.
Understand how to monitor applications and cluster components.
Manage container stdout and stderr logs effectively.
Troubleshoot application failures (CrashLoopBackOff, ImagePullBackOff, OOMKilled).
Troubleshoot cluster component failures (API server, scheduler, controller manager, kubelet).
Troubleshoot networking (CNI, DNS, service connectivity, kube-proxy).
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