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AI-200 Learn

Develop containerized solutions on Azure, 20–25% of the exam

Deploy and monitor applications on Azure Kubernetes Service

This learning path guides you through the complete lifecycle of running applications on Azure Kubernetes Service: creating deployment manifests, exposing applications with Kubernetes Services, externalizing configuration with ConfigMaps, securing sensitive settings with Secrets, attaching persistent storage, and monitoring/troubleshooting application health and connectivity.

Start with Create Kubernetes deployment manifests
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Deploy applications to Azure Kubernetes Service

Learn how to deploy applications to Azure Kubernetes Service. Covers creating deployment manifests, exposing applications with services, and deploying to AKS.

  1. Create Kubernetes deployment manifests
  2. Expose applications in Azure Kubernetes Services
  3. Deploy applications to Azure Kubernetes Services
  4. Configure health probes and rolling updates

Configure applications on Azure Kubernetes Service

Learn to externalize configuration, secure sensitive settings, and attach persistent storage using Kubernetes features on AKS.

  1. Define ConfigMaps for application settings
  2. Implement secrets for sensitive data
  3. Attach persistent storage to an app

Monitor and troubleshoot applications on Azure Kubernetes Service

Learn to monitor application health, inspect logs and metrics, troubleshoot pods and Services, and verify connectivity for AI workloads on AKS.

  1. Monitor application logs and metrics
  2. Troubleshoot pods and services
  3. Verify service connectivity and endpoints
  4. Exercise - Troubleshoot apps on Azure Kubernetes Service