AI-200 Preparation Details
Preparing for the AI-200 Developing AI Cloud Solutions on Azure certification exam? Start here with a complete, objective-wise AI-200 study guide designed to help you pass faster.
This guide brings together official Microsoft documentation, key concepts, and curated resources for every AI-200 exam objective, making it ideal for both beginners and last-minute revision.
Looking for the best AI-200 preparation resources in one place? This page covers everything you need to get exam-ready with confidence.
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AI-200 Cloud AI Materials
| Udemy | Azure AI Cloud Developer Associate – Complete Course |
| Coursera | Building AI Cloud Apps with Microsoft Azure |
Develop containerized solutions on Azure (20–25%)
Implement container application hosting
Build, store, version, and manage container images by using Azure Container Registry
Introduction to Azure Container Registry
Push and pull container images in Azure Container Registry
Container image lock and version management in Azure Container Registry
Build and run images by using Azure Container Registry Tasks
Automate container image builds with Azure Container Registry Tasks
Tutorial: Build and deploy container images with Azure Container Registry Tasks
Deploy containers to Azure App Service, including configuring App Service to supply environment variables and secrets
Deploy and run a containerized app in Azure App Service
Configure environment variables and app settings in Azure App Service
Configure a custom container for Azure App Service
Implement container-orchestrated solutions
Deploy applications to Azure Container Apps, including environment configuration and revision management
Deploy your first container app using the Azure portal
Manage revisions in Azure Container Apps
Deploy and Manage Apps on Azure Container Apps – Training
Implement event-driven scaling by using Kubernetes Event‑driven Autoscaling (KEDA) in Container Apps
Scale apps in Azure Container Apps
Scale Containers in Azure Container Apps – Training
Kubernetes Event-driven Autoscaling (KEDA) – Azure Kubernetes Service
Deploy and manage applications to Azure Kubernetes Service (AKS) by using manifest files
Tutorial: Create an Azure Container Registry and build images for AKS
Deploy and manage applications on AKS – Training
Deploy applications to Azure Kubernetes Service
Monitor and troubleshoot solutions on AKS and Container Apps by inspecting logs, events, and end-to-end connectivity
Monitor Azure Kubernetes Service – Azure Monitor
Logging in Azure Container Apps
AKS troubleshooting – Azure Kubernetes Service
Develop AI solutions by using Azure data management services (25–30%)
Develop AI solutions by using Azure Cosmos DB for NoSQL
Connect to Azure Cosmos DB for NoSQL by using the SDK and run queries
Quickstart: Azure Cosmos DB for NoSQL – Python SDK
Query items using the SDK – Azure Cosmos DB for NoSQL
Optimize query performance and Request Units (RUs) consumption by using indexing policies and consistency levels
Indexing policies in Azure Cosmos DB
Manage indexing policies in Azure Cosmos DB for NoSQL
Consistency levels in Azure Cosmos DB
Store and retrieve embeddings and execute vector similarity search for semantic retrieval
Vector search in Azure Cosmos DB for NoSQL
Integrated vector database in Azure Cosmos DB
Index and query vector data in .NET – Azure Cosmos DB
Implement a change feed processor to detect and handle new or updated items
Change feed processor in Azure Cosmos DB
Develop with the change feed – Azure Cosmos DB for NoSQL
Develop AI solutions by using Azure Database for PostgreSQL
Connect and query Azure Database for PostgreSQL by using SDKs
Quickstart: Connect with Python – Azure Database for PostgreSQL Flexible Server
Generative AI with Azure Database for PostgreSQL – Flexible Server
Model schemas and implement indexing strategies, including designing tables and choosing appropriate data types
Generative AI with Azure Database for PostgreSQL – Flexible Server
Generate vector embeddings with Azure OpenAI in Azure Database for PostgreSQL
Implement indexing strategies, including optimizing query latency and reducing pgvector compute overhead
Optimize performance of vector data on Azure Database for PostgreSQL deployed with pgvector
Enable and use DiskANN – Azure Database for PostgreSQL
Configure compute, memory, and storage resources to support vector workloads
Optimize performance of vector data with pgvector – Azure Database for PostgreSQL Flexible Server
Compute options in Azure Database for PostgreSQL – Flexible Server
Run vector similarity search, including storing embeddings, semantic retrieval, and implementing retrieval-augmented generation (RAG) patterns by using metadata filter
Vector search on Azure Database for PostgreSQL
Implement Vector Search with Azure Database for PostgreSQL – Training
Generative AI with Azure Database for PostgreSQL – Flexible Server
Implement connection optimization to improve throughput and minimize latency
Connection pooling with PgBouncer – Azure Database for PostgreSQL Flexible Server
Best practices for connecting to Azure Database for PostgreSQL – Flexible Server
Integrate Azure Managed Redis in AI solutions
Implement Azure Managed Redis data operations, including caching, expiration, and invalidation
Azure Managed Redis documentation
Enhance AI solutions with Azure Managed Redis – Training
Caching guidance – Azure Architecture Center
Implement vector indexing to enable similarity search
About vector embeddings and vector search in Azure Managed Redis
Implement Vector Storage in Azure Managed Redis – Training
Using Redis modules with Azure Managed Redis
Connect to and consume Azure services (20–25%)
Develop event- and message-based AI solutions
Queue and process back-end operations by using Azure Service Bus, including dead-letter queue handling, messages, topics, and subscriptions
Introduction to Azure Service Bus messaging
Service Bus dead-letter queues – Azure Service Bus
Enable dead lettering for Azure Service Bus queues and subscriptions
Advanced features in Azure Service Bus messaging
Implement event-driven workflows by using Azure Event Grid, including filters, custom events, and retries
Introduction to Azure Event Grid
Quickstart: Send custom events to an Azure function – Event Grid
Function as event handler for Azure Event Grid events
Azure Event Grid bindings for Azure Functions
Develop and implement Azure Functions
Build serverless APIs, including implementing triggers and bindings
Azure Functions triggers and bindings concepts
Azure Functions trigger and binding example
Connect to eventing and messaging services in Azure Functions
HTTP trigger for Azure Functions
Configure and deploy function apps
Configure and deploy function apps – Azure Functions
Deployment technologies in Azure Functions
Azure Functions on Azure Container Apps overview
Secure, monitor, and troubleshoot Azure solutions (20–25%)
Implement secure Azure solutions
Secure secrets by using Azure Key Vault, including rotation and retrieval
Secure your Azure Key Vault secrets
Rotation tutorial for resources with one set of authentication credentials stored in Azure Key Vault
Rotation tutorial for resources with two sets of authentication credentials
Use Key Vault references as App Settings – Azure App Service
Store and retrieve app configuration information by using Azure App Configuration
Tutorial: Use Key Vault references in an ASP.NET Core app – Azure App Configuration
Reload secrets and certificates from Key Vault automatically – Azure App Configuration
Azure App Configuration overview
Monitor and troubleshoot Azure solutions
Trace distributed systems by using OpenTelemetry SDKs
Enable OpenTelemetry in Application Insights – Azure Monitor
Add and modify OpenTelemetry in Application Insights – Azure Monitor
Monitor Azure Functions with OpenTelemetry distributed tracing
Use OpenTelemetry with Azure Functions
Write KQL queries to analyze logs and metrics
Log Analytics tutorial – Azure Monitor
Kusto Query Language (KQL) overview
Get started with KQL queries – Azure Monitor
This brings us to the end of the AI-200 Developing AI Cloud Solutions on Azure Study Guide.
What do you think? Let me know in the comments section if I have missed out on anything. Also, I love to hear from you about how your preparation is going on!
In case you are preparing for other Azure certification exams, check out the Azure certification study guides for those exams.
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