How hard is the CKS exam? +
CKS is the hardest of the Linux Foundation Kubernetes exams. You harden live clusters under time pressure, often by editing static pod manifests for the kube-apiserver to enable admission controllers or audit logging. One YAML mistake stops the API server, and recovering costs minutes. Tools like Falco, image scanners, and audit policies are rarely part of everyday cluster administration.
What is the CKS exam format? +
CKS is a two-hour, online proctored, performance-based exam with roughly 15 to 20 hands-on tasks in live clusters. You work in a remote desktop with a terminal and have access to the Kubernetes documentation and specific tool documentation allowed by the exam. Tasks are weighted differently, so prioritize high-value tasks if time is short.
What is the CKS passing score? +
You need 67% to pass, slightly higher than the 66% required for the CKA and CKAD. Tasks are weighted, so one unfinished or misconfigured task can swing the result. Breaking a cluster component during a task can also affect related work, which makes careful editing important.
Do I need the CKA before taking CKS? +
Yes. You must hold a CKA before you can sit the CKS. Security professionals planning to start with CKS face a full administrator exam first. CKS costs 445 USD and includes one free retake and two sessions of the killer.sh simulator. The CKS certification is valid for two years.
Which CKS domains carry the most weight? +
Supply Chain Security and Monitoring, Logging and Runtime Security each carry 20%. Microservice vulnerabilities and system hardening, along with cluster setup and cluster hardening, make up the rest. Supply chain and runtime security are where most administrators have the least hands-on experience, so they usually need the most practice.
How long should I prepare for CKS? +
Candidates who recently passed CKA typically need 6 to 10 weeks. Spend time with Falco rules, audit policies, Pod Security Admission, network policies, AppArmor and seccomp profiles, and image scanning. Practice editing kube-apiserver manifests and recovering from mistakes until you can do it quickly without breaking the cluster.