Deploy and manage applications using deployments, daemonsets, and statefulsets.

Automate complex application deployments with Helm and Kustomize.

Control workload scheduling using labels, affinity/anti-affinity, taints, tolerations, and priorities.

Apply resource quotas and scaling strategies to optimize application performance.

Configure Kubernetes services, ingress controllers, and the Gateway API to manage application access.

Understand and manage cluster-level networking with CNI and CoreDNS.

Implement network policies to control traffic between pods and namespaces.

Gain hands-on experience with practical labs for real-world networking scenarios.

Configure and manage pod volumes, persistent volumes, and persistent volume claims in Kubernetes.

Set up and use storage classes for automatic storage provisioning.

Implement volume reclaim policies and manage data lifecycle.

Securely handle configuration and sensitive data with config maps and secrets.

Monitor and analyze Kubernetes resources using logging and event tracking.

Troubleshoot issues with nodes, services, ingress, and cluster components.

Diagnose and resolve cluster access problems efficiently.

Apply troubleshooting skills in practical, hands-on lab scenarios.

Gain hands-on experience with realistic, full-length Kubernetes practice exams.

Learn how to use grading scripts to assess your performance and progress.

Identify strengths and areas for improvement through detailed solution walkthroughs.

Build confidence and exam readiness with practical, scenario-based tasks.