Hands-on practice of Readiness and Liveness Probes in a cluster
Hands-on practice to Design and Deploy applications on Kubernetes Cluster
Hands-on practice to Troubleshoot Applications Deployed using Logs
Hands-on practice to Create and Configure Persistent Volumes
Hands-on practice to Secure Kubernetes cluster with Secrets and Network Policies
Note : Practical labs are included in this course. It is recommended that you read the official documents before enrollment.
The Certified Kubernetes Application Developer exam certifies that users can design, build, configure, and expose cloud native applications for Kubernetes. A CKAD can define application resources and use core primitives to build, monitor, and troubleshoot scalable applications and tools in Kubernetes.
CKAD has been developed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF), to help expand the Kubernetes ecosystem through standardized training and certification. This exam is an online, proctored, performance-based test that consists of a set of performance-based tasks (problems) to be solved in a command line.
You should already have knowledge of these topics before enrollment:
- working with (OCI-compliant) container images
- applying Cloud Native application concepts and architectures
- working with and validating Kubernetes resource definitions
The certification program allows users to demonstrate their competence in a hands-on, command-line environment. The purpose of the Certified Kubernetes Application Developer (CKAD) program is to provide assurance that CKADs have the skills, knowledge, and competency to perform the responsibilities of Kubernetes application developers.
A set of exercises that helped a lot of students to prepare for the Certified Kubernetes Application Developer (CKAD) exam, offered by the Cloud Native Computing Foundation, organized by curriculum domain. They may as well serve as learning and practicing with Kubernetes.
During the exam, you are allowed to keep only one other browser tab open to refer to official documentation. The online, proctored, performance-based test consists of a set of performance-based items (problems) to be solved in a command line and is expected to take approximately two (2) hours to complete.
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