The Certified Kubernetes Administrator (CKA) exam is designed to validate your skills and knowledge as a Kubernetes administrator, ensuring you are competent to perform the necessary tasks to manage Kubernetes instances.

• Certification Body: The exam is created and managed by The Linux Foundation and the Cloud Native Computing Foundation (CNCF).
• Format: It is an online, proctored, performance-based test where you'll solve problems in a command-line environment.
• Duration: You have 2 hours to complete the exam tasks.
• Software Version: The exam content is based on Kubernetes v1.29, with the environment updated to the most recent minor version within 4 to 8 weeks of a new Kubernetes release.
• Domains Covered: The exam focuses on several domains including Cluster Architecture, Installation & Configuration (25%), Workloads & Scheduling (15%), Services & Networking (20%), Storage (10%), and Troubleshooting (30%).
• Exam Simulator: Candidates will have access to an exam simulator provided by Killer.sh, with two attempts to familiarize themselves with the exam format. Each simulation attempt provides 36 hours of access from the time of activation.
• Certification Validity: As of April 1, 2024, certifications will expire 24 months from the date the certification requirements are met, including passing the exam.
• Prerequisites: There are no formal prerequisites for the exam.
• Preparation: A variety of training and resources are available, including a suggested CKA learning path offered by The Linux Foundation.
• Exam Resources: The Linux Foundation provides a Candidate Handbook, Curriculum Overview, Exam Tips, and other resources to help candidates prepare.
• Registration: Registration for the exam can be done through The Linux Foundation's website.

The exam is designed to showcase hands-on skills rather than theoretical knowledge, making it a practical demonstration of your ability to work with Kubernetes. It covers fundamental aspects such as Kubernetes networking, storage, security, maintenance, and troubleshooting, aiming to establish basic use cases for end-users​