Developing Al Cloud Solutions on Azure
Exam Code: AI-200
The AI-200 certification exam validates your ability to design, build, implement, secure, monitor, and troubleshoot Al cloud solutions on Microsoft Azure, with a focus on back-end services, scalable architectures, containers, data services, event-driven workflows, and the full development lifecycle.
- Exam Breakdown
- Domain Breakdown
- Access Breakdown
Exam Format
- Exam Code: AI-200
- Certification Level: Intermediate / Associate
- Exam Duration: 120 minutes
- Passing Score: 700 out of 1000
- Unscored Content: The exam may include unscored questions for evaluation purposes. These questions do not affect your final score and may not be identified separately.
Exam Details
- Question Types: Multiple choice, case studies, drag-and-drop, build list, scenario-based questions, and interactive components
- Number of Questions: Microsoft certification exams typically contain 40–60 questions, but the exact number may vary
- Hands-On Questions: The exam may include interactive components, but Microsoft does not publish a fixed lab count for AI-200.
Exam Policies
- Offline Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Online Proctoring: Must be rescheduled or canceled at least 24 hours before the scheduled exam time.
- Waiting Period: A 24-hour wait is required after the first failed attempt. A 14-day wait applies for subsequent retakes.
- Retake Fee: Full exam fee must be paid for each retake, unless a valid voucher, beta offer, or eligible exam offer applies.
Certification Validity and Renewal
- Validity: 1 year
- Renewal Options: Renew for free by passing the online renewal assessment on Microsoft Learn before the certification expires.
Exam Fee
- Base Fee: $165 USD, based on the country or region in which the exam is proctored
- Taxes: Country-specific taxes may apply. Example: In India, 18% tax applies, making the total $194.70 USD ($165 + $29.70 tax)
Prerequisites
There are no formal prerequisites for taking the AI-200 exam. However, it is recommended to have:
- Experience developing applications using Python, C#, or JavaScript
- Basic understanding of Azure services and cloud computing concepts
- Familiarity with Azure SDKs and third-party SDKs used in Azure
- Knowledge of Azure data management services
- Experience with Azure monitoring and troubleshooting
- Understanding of Azure messaging and eventing services
- Familiarity with vector databases and semantic retrieval patterns
- Experience implementing containerized applications on Azure
Exam Topics
- Develop Containerized Solutions on Azure: Build, store, version, and manage container images using Azure Container Registry; deploy containers to Azure App Service; deploy applications to Azure Container Apps; implement KEDA-based scaling; deploy and manage applications on Azure Kubernetes Service; monitor and troubleshoot containerized workloads
- Develop AI Solutions by Using Azure Data Management Services: Connect to Azure Cosmos DB for NoSQL, optimize indexing and request units, store embeddings, run vector similarity search, implement change feed processors, use Azure Database for PostgreSQL with pgvector, configure vector workloads, and integrate Azure Managed Redis for caching and vector search
- Connect to and Consume Azure Services: Build event-driven and message-based AI solutions using Azure Service Bus, topics, subscriptions, dead-letter queues, Azure Event Grid, custom events, filters, retries, and Azure Functions with triggers, bindings, serverless APIs, and deployment configuration
- Secure, Monitor, and Troubleshoot Azure Solutions: Secure secrets with Azure Key Vault, manage application settings with Azure App Configuration, trace distributed systems using OpenTelemetry SDKs, write KQL queries to analyze logs and metrics, and troubleshoot secure, scalable, observable Azure AI solutions
Intended Audience
The AI-200 certification is ideal for developers who build backend and AI-driven applications on Azure, including roles such as:
- Azure Developer
- AI Cloud Developer
- Backend Developer
- Cloud Application Developer
- Azure Solution Developer
- AI Application Developer
- Python Developer
- C# Developer
- Cloud Integration Developer
Career Impact
Jobs You Can Get:
- Azure Developer, AI Cloud Developer, Backend Developer, Cloud Application Developer, Azure Solution Developer, AI Application Developer, Cloud Integration Developer, and Platform Developer.
Average Salary:
- Varies by country — U.S.: $90,000–$140,000 USD,
- India: ₹8,00,000–₹26,00,000 INR,
- United Kingdom: £48,000–£82,000 GBP,
- UAE: 180,000–340,000 AED per year.
Why It’s Valuable:
- This certification validates practical Azure development skills for building scalable AI cloud solutions using containers, serverless APIs, Azure data services, vector search, messaging, eventing, security, monitoring, and troubleshooting.
Exam Mode
The exam is proctored and can be taken either:
- In-person at authorized Pearson VUE test centres
- Online through Pearson VUE's online proctoring system
Exam Booking Link
- Book your AI-200 Exam via Microsoft Learn / Pearson VUE — Click here (https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-cloud-developer-associate/)
Once you pass the exam
- Download your Microsoft Certified: Azure AI Cloud Developer Associate certificate from Microsoft Learn
- Processing Time: For beta exams, results may not be available immediately because Microsoft analyzes exam question performance before scoring
- Log in to your Microsoft Learn profile
- Navigate to the Credentials or Certifications section
- Download or share your Microsoft certification badge and certificate once the certification is awarded
Offers
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To strengthen your knowledge and approach exam day with confidence. We provide practice questions to help you understand the exam format and question patterns.
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Top Reasons to Choose
Developing Al Cloud Solutions on Azure
High Demand for Azure AI Cloud Developers
Organizations need developers who can build scalable AI cloud solutions using Azure containers, serverless APIs, data services, vector search, messaging, security, monitoring, and troubleshooting tools.
Strong Focus on Real-World Backend AI Solutions
The exam focuses on containerized compute, Cosmos DB, PostgreSQL, Redis, Service Bus, Event Grid, Azure Functions, Key Vault, App Configuration, OpenTelemetry, and KQL for practical AI workloads.
Career Growth and Microsoft Recognition
As an official Microsoft Associate certification, AI-200 supports career growth for Azure developers, backend engineers, AI cloud developers, and cloud application professionals building secure AI solutions.
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FAQ
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Who should take the AI-200 Developing AI Cloud Solutions on Azure exam?
The AI-200 exam is ideal for developers who build backend and AI-driven applications on Microsoft Azure. Candidates should understand Azure SDKs, containerized compute, Azure data services, vector databases, messaging, eventing, serverless APIs, monitoring, troubleshooting, security, and programming with languages such as Python, C#, or JavaScript in cloud environments.
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How difficult is the AI-200 exam?
The AI-200 exam is considered intermediate because it requires practical Azure development knowledge across containers, Kubernetes, Container Apps, App Service, Cosmos DB, PostgreSQL, Redis, Service Bus, Event Grid, Azure Functions, Key Vault, App Configuration, OpenTelemetry, and KQL. Developers with hands-on Azure application experience will find preparation more manageable.
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Why does Microsoft offer the Azure AI Cloud Developer Associate certification?
Microsoft offers this certification to validate developers who can build secure, scalable, and observable AI cloud solutions on Azure. Organizations need professionals who can integrate compute, containers, data services, vector search, messaging, event-driven workflows, secrets management, monitoring, and troubleshooting into reliable AI-driven applications for production environments.
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What tools and resources can be used to prepare for the AI-200 exam?
Candidates can prepare using the official Microsoft Learn AI-200 study guide, AI-200T00 training course, Azure documentation, exam sandbox, and hands-on labs. Practical experience with Azure Container Registry, App Service, Container Apps, AKS, Cosmos DB, PostgreSQL, Redis, Service Bus, Event Grid, Azure Functions, Key Vault, OpenTelemetry, and KQL is recommended.
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Is the AI-200 certification still valuable in 2026?
Yes, AI-200 is valuable in 2026 because organizations are building more AI-driven applications that require scalable backend services, containerized deployment, vector-enabled databases, event-driven integration, serverless APIs, secure configuration, and strong monitoring. The certification proves current Azure development skills for modern AI cloud solutions.
