Kubernetes and Cloud Native Associate (KCNA) Study Guide : In Depth Exam Prep and Practice
Book Details
Format
Paperback / Softback
ISBN-10
1098138945
ISBN-13
9781098138943
Publisher
O'Reilly Media
Imprint
O'Reilly Media
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Apr 29th, 2025
Print length
200 Pages
Weight
486 grams
Dimensions
23.30 x 17.80 x 1.70 cms
Ksh 8,650.00
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The Kubernetes and Cloud Native Associate (KCNA)-which covers the cloud native environment generally as well as fundamental Kubernetes skills and knowledge-is designed to be the first step of your cloud native journey. This practical guidebook has everything you need to prepare for and pass the KCNA certification exam.
Learn how to prepare for and pass the KCNA (Kubernetes and Cloud Native Associate) certification exam. This practical guide serves as both a study guide and point of entry for practitioners looking to explore and adopt cloud native technologies. Adrian Gonzalez Sanchez teaches you not only the core technology fundamentals, but also the community and industry that KCNA serves. With the meteoric rise in cloud adoption, cloud native technologies such as Kubernetes have become the de facto industry standard. Other Kubernetes certifications CKAD, CKA, and CKS--are all geared towards higher level technical proficiency. The KCNA certification exam covers the cloud native environment generally as well as the fundamental Kubernetes skills and knowledge. This guide helps you learn: How to best and most efficiently prepare for the KCNA exam The latest cloud native developments and their importance The fundamentals of Kubernetes, cloud native development, and related CNCF projects The core elements of Kubernetes applications The crucial elements of modern cloud native development How to differentiate and choose cloud native technologies The market value of passing the KCNA exam About the Author Adrian Gonzalez Sanchez is a cloud, data and AI specialist at Microsoft, and the Industrial AI Lead for the Spanish Observatory of Ethical AI (OdiseIA).
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