Note - 1 : Prior knowledge of CKA is required before enrollment.
Note - 2 : These "exam-style" questions are not exactly like the real exam, nor are they exam dumps or don't expect them to be the case.
Section - 1:
There are no practice questions in first section. This section is designed to help students for installation of gcp-k8s-cluster and cluster-setup.
Section - 2:
Test your knowledge of Trivy, RBAC & Service Accounts, AppArmor, Secrets & Pod, Seccomp profiles, RuntimeClass. Kube-bench.
Section - 3:
Test your knowledge of Audit, Falco, ImagePolicyWebhooks, Pod Security Policy, Network Policy (Deny), Network Policy (Restrict pod), Dockerfile Security issue
You must cover below curriculum before attempting CKS Exam:
10% - Cluster Setup
Use Network security policies to restrict cluster level access
Use CIS benchmark to review the security configuration of Kubernetes components (etcd, kubelet, kubedns, kubeapi)
Properly set up Ingress objects with security control
Protect node metadata and endpoints
Minimize use of, and access to, GUI elements
Verify platform binaries before deploying
15% - Cluster Hardening
Restrict access to Kubernetes API
Use Role Based Access Controls to minimize exposure
handy site collects together articles, tools and the official documentation all in one place
Exercise caution in using service accounts e.g. disable defaults, minimize permissions on newly created ones
Update Kubernetes frequently
Minimize host OS footprint (reduce attack surface)
Minimize IAM roles
Minimize external access to the network
Appropriately use kernel hardening tools such as AppArmor, seccomp
15% System Hardening
Minimize host OS footprint (reduce attack surface)
Minimize IAM roles
Minimize external access to the network
Appropriately use kernel hardening tools such as AppArmor, seccomp
!? where is selinux? assume exam systems are ubuntu
20% - Minimize Microservice Vulnerabilities
Setup appropriate OS level security domains e.g. using PSP, OPA, security contexts
Manage kubernetes secrets
Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)
Implement pod to pod encryption by use of mTLS
20% - Supply Chain Security
Minimize base image footprint
Secure your supply chain: whitelist allowed image registries, sign and validate images
Use static analysis of user workloads (e.g. kubernetes resources, docker files)
Scan images for known vulnerabilities
20% - Monitoring, Logging and Runtime Security
Perform behavioral analytics of syscall process and file activities at the host and container level to detect malicious activities
Detect threats within physical infrastructure, apps, networks, data, users and workloads
Detect all phases of attack regardless where it occurs and how it spreads
Perform deep analytical investigation and identification of bad actors within environment
Ensure immutability of containers at runtime
Use Audit Logs to monitor access
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