AI-200: Azure AI Cloud Developer Associate Exam

Build and run images in the cloud with azure container registry tasks and acr build. Trigger builds from GitHub using an acr task and a personal access token, deploying images.

deploy and manage a containerized app with Azure Container Apps, creating an environment, selecting an Azure Container Registry, and configuring ingress, port 5000, and revisions to control traffic.

Demonstrates event-driven scaling using KEDA in Azure container apps, applying a service bus queue with a scaling rule that grows from 0 to 5 instances based on queue messages.

Learn to set up and query a Cosmos DB NoSQL database using the Python azure.cosmos SDK, including serverless deployments, key-based access, and parameterized cross-partition queries with cost awareness.

Explore how indexing policies and consistency levels affect query performance and RU consumption in Azure Cosmos DB, including price indexing, table scans, and practical trade-offs.

Enable vector search in Cosmos DB as a vector store, create a vector-enabled container with an embedding field, and store 1,536-dimension embeddings for semantic retrieval.

Implement a change feed processor for Cosmos DB to detect new or updated items using a leases container and a C Sharp example; deletions aren’t tracked.

Switch from Cosmos DB to Azure Database for PostgreSQL and learn to create a database, connect with psycopg2, and run a create-insert-select workflow, laying groundwork for indexing and vector similarity.

Explore model schemas and data types in PostgreSQL database, enable vector data types with Azure extensions, and design a documents table with UUID key, varchart, text, embedding, integer, and timestamp.

Configure compute, memory, and storage for vector workloads in Azure PostgreSQL, choosing burstable, general purpose, or memory-optimized options. Optimize server parameters and storage autogrow to support in-memory indices.

Demonstrates performing vector similarity search in PostgreSQL with embeddings, then applying retrieval augmented generation using OpenAI and the GPT-4.1 model to answer a question with contextual results.

Implement vector indexing in Azure Redis to store embeddings and perform semantic similarity searches using ft.search with knn queries, returning top results for container services questions.

Create and configure an Azure Service Bus with a topic AI jobs and two subscriptions for transcription and summarization, then publish and consume messages while exploring dead-letter handling.

Learn event-driven workflows with Azure Event Grid, comparing events to messages, subscribing to blob created events, and routing to endpoints like Service Bus or Functions.

Build serverless APIs with Azure Functions using http triggers and bindings. Configure, deploy, and run function apps locally in VS Code, then call an OpenAI endpoint to summarize text.

Learn how to secure secrets with Azure Key Vault, storing keys, secrets, and certificates, configuring access policies, and retrieving them without embedding in code.

Discover how Azure App Configuration stores environment-specific settings with key-value pairs and labels to switch between dev and production, retrieving AI model name and vector search features.