Cloud Equivalents

Exam guide for cloud switchers · Associate

AI-200 for AWS engineers: Developing AI Cloud Solutions on Azure

AI-200 is the Azure AI Cloud Developer Associate exam and the closest current successor to the retired AZ-204 developer exam.

It covers containers, data services with vector search, messaging and Functions, and secure, observable apps. An AWS developer will recognize every building block. The details that need study are Cosmos DB request units, Functions bindings and KQL.

Last verified: against the official AI-200 study guide · Edit on GitHub · Report an error

Exam at a glance

ExamAI-200: Developing AI Cloud Solutions on Azure
CertificationMicrosoft Certified – Azure AI Cloud Developer Associate (Associate)
Statuscurrent
Back-end services, containers, and architecture for AI solutions on Azure.
Skills measured as ofOct 7, 2026
Passing score700 or greater (per the study guide)
Closest AWS certDVA-C02

Exam prices vary by country and are set on the exam page, so none are quoted here. Microsoft doesn't publish pass rates.

Who it's for

  • AWS developers (the DVA-C02/DVA-C03 audience) building back ends on Azure.
  • Former AZ-204 candidates. AZ-204 is retired, and AI-200 covers the same developer ground with an AI-data focus.
  • Engineers who build the services behind RAG and agent apps: vector stores, caches, queues and APIs.

Domains and how they map to AWS

Domain (official)WeightCompare pages
Develop containerized solutions on Azure20–25%5
Develop AI solutions by using Azure data management services30–35%5
Connect to and consume Azure services20–25%5
Secure, monitor, and troubleshoot Azure solutions20–25%2

1. Develop containerized solutions on Azure 20–25%

Official skill areas: Implement container application hosting · Implement container-orchestrated solutions

From AWS: ECR, App Runner, ECS/Fargate and EKS map to Azure Container Registry (and ACR Tasks), App Service for containers, Container Apps (KEDA-based scaling) and AKS.

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2. Develop AI solutions by using Azure data management services 30–35%

Official skill areas: Develop AI solutions by using Azure Cosmos DB for NoSQL · Develop AI solutions by using Azure Database for PostgreSQL · Integrate Azure Managed Redis in AI solutions

From AWS: DynamoDB maps to Cosmos DB for NoSQL (SDK, RUs, change feed, vector search). RDS/Aurora PostgreSQL with pgvector maps to Azure Database for PostgreSQL. ElastiCache/MemoryDB maps to Azure Managed Redis, including vector indexing.

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3. Connect to and consume Azure services 20–25%

Official skill areas: Develop event- and message-based AI solutions · Develop and implement Azure Functions

From AWS: SQS/SNS maps to Service Bus (queues, topics, sessions, dead-lettering). EventBridge maps to Event Grid. Lambda maps to Azure Functions with triggers and bindings.

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4. Secure, monitor, and troubleshoot Azure solutions 20–25%

Official skill areas: Implement secure Azure solutions · Monitor and troubleshoot Azure solutions

From AWS: Secrets Manager maps to Key Vault. AppConfig/Parameter Store maps to Azure App Configuration. X-Ray/ADOT maps to OpenTelemetry into Azure Monitor. CloudWatch Logs Insights queries become KQL.

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Concepts that trip AWS engineers up

Request Units are the currency

Cosmos DB charges and throttles in request units (RU/s), whether provisioned, autoscale or serverless. Query shape, indexing policy and partition key choice drive RU cost much more directly than DynamoDB read and write units do.

Functions bindings

Azure Functions has declarative input and output bindings, for example to Cosmos DB, Service Bus or Blob Storage, as well as triggers. Lambda only has triggers and event source mappings, so code that a binding replaces shows up in exam answers.

Service Bus vs Event Grid

Service Bus is a pull-based broker with sessions, transactions and dead-letter queues. Event Grid pushes discrete events to handlers. The SQS/SNS/EventBridge split doesn't map one to one.

Container Apps scaling is KEDA

Scale rules (HTTP, queue length, custom) are KEDA scalers. The exam asks about configuring them directly, which ECS service auto scaling doesn't prepare you for.

Successor framing is ours

Microsoft retired AZ-204 without naming a single replacement. We treat AI-200 as the closest current developer exam because its scope covers the same building blocks.

Closest AWS certification

  • AWS Certified Developer – Associate DVA-C02 Retiring: Same developer role. DVA-C02 is being replaced by DVA-C03. Being updated to DVA-C03. Registration for DVA-C03 opens Oct 27, 2026. Last day to take DVA-C02 is Nov 30, 2026.

Verification notes

  • On the AI-200 study guide, the "Skills at a glance" list gives 30–35% for "Develop AI solutions by using Azure data management services", but that section's own heading still says 25–30%. The change log says the weight increased on Oct 7, 2026, so this guide uses 30–35%.

FAQ

What does AI-200 cover, and how is it weighted?

AI-200 (Developing AI Cloud Solutions on Azure) has 4 domains: Develop containerized solutions on Azure (20–25%); Develop AI solutions by using Azure data management services (30–35%); Connect to and consume Azure services (20–25%); Secure, monitor, and troubleshoot Azure solutions (20–25%). Weights are from the official Microsoft Learn study guide (skills measured as of Oct 7, 2026).

What is the closest AWS certification to AI-200?

AWS Certified Developer – Associate (DVA-C02): Same developer role. DVA-C02 is being replaced by DVA-C03.

Is AI-200 a current exam?

As of Oct 27, 2026, Microsoft Learn lists AI-200 as current. Back-end services, containers, and architecture for AI solutions on Azure.

Other exam guides

Official sources