Kubernetes Administrator Practice Exam

A Kubernetes Administrator is the role which is responsible for managing, deploying, and maintaining containerized applications using Kubernetes. Kubernetes is an open-source tool to automate container operations. The role involves configuring Kubernetes clusters, scaling applications, ensuring system reliability, and managing Kubernetes resources as well as resolve performance, networking, and security issues.

Certification in Kubernetes Administrator validates your skills and knowledge in deploying, scaling, and troubleshooting applications in Kubernetes environments.
Why is Kubernetes Administrator certification important?

• The certification attests to your skills in managing Kubernetes clusters.
• Provides access to many job roles in cloud computing.
• Shows your commitment to stay updated with industry trends.
  
• Makes you more valuable in the growing market for professionals needed to manage cloud resources.
• Attests to your commitment to quality and professionalism.

Who should take the Kubernetes Administrator Exam?

• Kubernetes Administrator
• Cloud Engineer
• DevOps Engineer
• System Administrator
• Site Reliability Engineer (SRE)
• Platform Engineer
• Infrastructure Engineer
• Container Orchestration Specialist
• Cloud Architect
• Linux Administrator (with focus on containerization)

Skills Evaluated

Candidates taking the certification exam on the Kubernetes Administrator is evaluated for the following skills:

• Kubernetes Cluster Architecture: Knowledge of the components and architecture of Kubernetes clusters, including control plane, nodes, and networking.
• Installation and Configuration: Skills in installing and configuring Kubernetes clusters using tools like kubeadm, Kops, and managed Kubernetes services.
• Workload Management: Proficiency in managing deployments, pods, replica sets, stateful sets, and jobs in Kubernetes environments.
• Services and Networking: Understanding of services, network policies, ingress controllers, and how to expose applications within and outside of the cluster.
• Storage Management: Knowledge of persistent volumes, storage classes, and managing storage in Kubernetes environments.
• Security: Understanding of RBAC (Role-Based Access Control), network policies, secrets management, and securing the Kubernetes environment.
• Troubleshooting and Monitoring: The ability to diagnose and resolve issues in Kubernetes clusters, including logs analysis and resource management.
• Resource Requests and Limits: Managing resource allocation for containers and ensuring efficient use of cluster resources.
• High Availability and Scaling: Skills in ensuring high availability of applications, autoscaling pods, and managing cluster resources to maintain performance.
• Backup and Disaster Recovery: Knowledge of strategies for cluster backup, restore, and disaster recovery plans.

Kubernetes Administrator Certification Course Outline
The course outline for Kubernetes Administrator certification is as below -

1. Cluster Architecture, Installation, and Configuration

• Kubernetes Cluster Architecture
• Installing and Configuring Kubernetes with kubeadm, Kops
• Configuring and Managing Kubeconfig
• Managing Multiple Clusters and Cluster Federation

2. Workloads and Scheduling

• Deployments, StatefulSets, DaemonSets, and Jobs
• ReplicaSets and Pod Management
• Scheduling Pods and Affinity Rules
• Job and CronJobs Management

3. Services and Networking

• Exposing Applications via Services (ClusterIP, NodePort, LoadBalancer, etc.)
• Network Policies and Ingress Controllers
• DNS, Service Discovery, and Load Balancing
• Kubernetes Network Model

4. Storage Management

• Persistent Volumes (PVs) and Persistent Volume Claims (PVCs)
• Storage Classes and Dynamic Provisioning
• Configuring Storage for StatefulSets
• Volumes and Volume Mounts

5. Security and RBAC

• Role-Based Access Control (RBAC)
• Managing Kubernetes Secrets and ConfigMaps
• Security Context and Pod Security Policies
• Network Policies and Security Best Practices

6. Monitoring and Logging

• Setting Up Monitoring Solutions (Prometheus, Grafana, etc.)
• Collecting and Analyzing Logs (Fluentd, Elasticsearch)
• Troubleshooting with kubectl and Logs
• Cluster Metrics and Health Checks

7. Scheduling and Logging

• Autoscaling Pods (Horizontal Pod Autoscaler)
• Cluster Autoscaling
• Resource Requests and Limits
• Quality of Service and Scheduling

8. Backup and Disaster Recovery

• Cluster Backup Strategies
• Restoring Kubernetes Cluster
• Handling Cluster Failures and Failover

9. Networking and Services

• Kubernetes Networking Model
• Configuring and Managing Load Balancers
• DNS and Service Discovery in Kubernetes
• Ingress Controllers and Ingress Resources

10. Troubleshooting

• Identifying and Resolving Cluster Issues
• Debugging Pods and Containers
• Understanding Resource Quotas and Limits
• Diagnosing Network Issues