Devops Kubernetes Practice Exam

The DevOps Kubernetes exam evaluates individuals' proficiency in implementing container orchestration and management using Kubernetes, an open-source container orchestration platform. This exam covers essential topics related to Kubernetes architecture, deployment, configuration, scaling, and troubleshooting.

Skills Required

• Kubernetes Fundamentals: Understanding of Kubernetes architecture, components, and terminology, including pods, deployments, services, and ingress controllers.
• Containerization Technologies: Familiarity with containerization concepts and technologies such as Docker, container images, container registries, and container networking.
• Kubernetes Deployment and Configuration: Proficiency in deploying Kubernetes clusters, configuring cluster settings, and managing cluster resources using YAML configuration files and Kubernetes API.
• Application Deployment and Scaling: Ability to deploy containerized applications on Kubernetes clusters, scale application instances dynamically, and manage application lifecycle using Kubernetes features.
• Kubernetes Networking and Service Discovery: Knowledge of Kubernetes networking concepts, including pod networking, service discovery, load balancing, and network policies.

Who should take the exam?

• DevOps Engineers: Professionals involved in designing, implementing, and managing DevOps practices and tools for containerized applications using Kubernetes.
• Kubernetes Administrators: Administrators responsible for deploying, configuring, and managing Kubernetes clusters in production environments.
• Software Developers: Developers seeking to deploy and manage containerized applications on Kubernetes clusters efficiently.
• System Administrators: Administrators interested in learning Kubernetes for automating container orchestration and management tasks.
• Anyone Interested in Containerization and Orchestration: Individuals passionate about containerization and orchestration technologies who want to enhance their skills in Kubernetes.

Course Outline

The Devops Kubernetes exam covers the following topics :-

Module 1: Introduction to Kubernetes

• Overview of Kubernetes: features, benefits, and use cases in container orchestration.
• Understanding Kubernetes architecture: master nodes, worker nodes, etcd, kube-controller-manager, kube-scheduler, and kube-api-server.
• Installation and setup of Kubernetes: local development environments (e.g., Minikube), managed Kubernetes services (e.g., Amazon EKS, Google GKE), and self-hosted clusters.

Module 2: Kubernetes Cluster Deployment

• Deploying Kubernetes clusters: choosing deployment options (e.g., on-premises, cloud-based), cluster configuration, and security considerations.
• Configuring Kubernetes cluster networking: pod networking, service networking, and network policies.
• Securing Kubernetes clusters: authentication, authorization, encryption, and role-based access control (RBAC) configuration.

Module 3: Managing Kubernetes Resources

• Managing Kubernetes resources: pods, deployments, replica sets, stateful sets, services, and ingress controllers.
• Working with Kubernetes API: interacting with Kubernetes clusters using kubectl command-line tool and Kubernetes API server.
• Configuring resource quotas, limits, and resource management policies for optimizing cluster resource utilization.

Module 4: Application Deployment on Kubernetes

• Containerizing applications using Docker: building container images, tagging, and pushing images to container registries.
• Deploying applications on Kubernetes clusters: creating deployment manifests, configuring pod specifications, and deploying applications using kubectl.
• Rolling updates and rollback strategies: updating application versions and rolling back to previous versions using Kubernetes deployment features.

Module 5: Kubernetes Networking and Service Discovery

• Understanding Kubernetes networking: pod networking models (e.g., bridge, overlay), service networking, and DNS resolution.
• Configuring Kubernetes networking: creating and managing network policies for controlling pod-to-pod communication and enforcing network security.
• Implementing service discovery and load balancing: configuring Kubernetes services, ingress controllers, and external load balancers for accessing applications.

Module 6: Kubernetes Storage and Persistent Volumes

• Persistent storage in Kubernetes: understanding storage classes, persistent volume claims (PVCs), and persistent volumes (PVs).
• Configuring storage providers: integrating Kubernetes clusters with external storage solutions (e.g., NFS, AWS EBS, Azure Disk).
• Managing application data: provisioning persistent volumes, attaching volumes to pods, and configuring volume snapshots and backups.

Module 7: Scaling and High Availability

• Scaling applications on Kubernetes: configuring horizontal pod autoscaling (HPA), cluster autoscaling, and node autoscaling for dynamic resource allocation.
• Ensuring high availability: configuring pod anti-affinity, node affinity, and pod disruption budgets for fault tolerance and resilience.
• Monitoring and alerting: implementing Kubernetes monitoring solutions (e.g., Prometheus, Grafana) for monitoring cluster health, resource utilization, and application performance.

Module 8: Kubernetes Security and Compliance

• Securing Kubernetes clusters: implementing security best practices for securing Kubernetes components, container images, and runtime environments.
• Vulnerability management: scanning container images for vulnerabilities, implementing image signing and verification, and enforcing security policies.
• Compliance and auditing: configuring audit logging, monitoring cluster activities, and ensuring compliance with regulatory requirements (e.g., GDPR, HIPAA).

Module 9: Kubernetes Troubleshooting and Debugging

• Troubleshooting common Kubernetes issues: diagnosing networking problems, pod scheduling failures, resource constraints, and application errors.
• Debugging Kubernetes workloads: inspecting pod logs, querying cluster events, and using debugging tools (e.g., kubectl debug, kubectl exec).
• Performance tuning and optimization: optimizing cluster performance, tuning resource limits, and implementing caching and optimization strategies.

Module 10: Kubernetes Best Practices and Advanced Topics

• Best practices for designing, deploying, and managing Kubernetes clusters and workloads in production environments.
• Exploring advanced Kubernetes topics: Kubernetes operators, custom resource definitions (CRDs), Helm charts, and GitOps practices.
• Reviewing Kubernetes certification exam objectives and preparation strategies for success in the exam.