Containing Latest 2023 Updated Kubernetes and Cloud Native Associate (KCNA) Syllabus Questions
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Exam Specification:

- Exam Name: Kubernetes and Cloud Native Associate (KCNA)
- Exam Code: KCNA
- Exam Duration: 90 minutes
- Exam Format: Multiple-choice questions
- Passing Score: 70%

Course Outline:

1. Introduction to Kubernetes and Cloud Native Technologies
- Understanding the fundamentals of Kubernetes and its role in cloud-native architecture
- Exploring the key concepts of containerization and container orchestration
- Overview of cloud-native technologies and their benefits

2. Kubernetes Architecture and Components
- Understanding the architecture of Kubernetes clusters
- Exploring the roles and responsibilities of various Kubernetes components
- Overview of Kubernetes networking and storage

3. Deploying Applications on Kubernetes
- Creating and managing Kubernetes deployments and pods
- Configuring and scaling application replicas
- Understanding Kubernetes services and service discovery

4. Kubernetes Networking and Service Mesh
- Configuring and managing Kubernetes networking
- Understanding Ingress controllers and load balancers
- Introduction to service meshes and their benefits

5. Monitoring and Logging in Kubernetes
- Implementing monitoring and logging solutions for Kubernetes clusters
- Understanding Kubernetes metrics and logs
- Exploring popular monitoring and logging tools in the Kubernetes ecosystem

Exam Objectives:

1. Understand the fundamentals of Kubernetes and cloud-native technologies.
2. Demonstrate knowledge of Kubernetes architecture and its components.
3. Deploy applications on Kubernetes and manage application replicas.
4. Configure and manage Kubernetes networking and service discovery.
5. Implement monitoring and logging solutions for Kubernetes clusters.

Exam Syllabus:

The exam syllabus covers the following topics (but is not limited to):

- Introduction to Kubernetes and cloud-native technologies
- Kubernetes architecture and components
- Deploying applications on Kubernetes
- Kubernetes networking and service mesh
- Monitoring and logging in Kubernetes

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