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Last Updated: Oct 11, 2026
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Microsoft AI-200 Exam Overview:
| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Developing AI Cloud Solutions on Azure |
| Exam Number: | AI-200 |
| Exam Duration: | 100 minutes |
| Exam Price: | $165 USD |
| Exam Format: | Case studies, Scenario-based questions, Multiple choice |
| Related Certifications: | Microsoft Certified: Azure Developer Associate (retiring July 31, 2026) |
| Certificate Validity Period: | 1 year, renewable free via online assessment |
| Available Languages: | Spanish, English, Chinese (Simplified), Portuguese (Brazil), Korean, French, German, Japanese |
| Passing Score: | 700 (out of 1000) |
| Real Exam Qty: | 40–60 |
| Recommended Training: | AI-200T00: Developing AI Cloud Solutions on Azure |
| Exam Registration: | Microsoft Certification Registration Pearson VUE Scheduling |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online proctored or onsite at Pearson VUE test centers |
| Pre Condition: | Basic programming experience (Python, .NET, JavaScript, or similar); familiarity with Azure development, containers, and cloud architectures |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ai-200 |
Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Topic 2: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Topic 3: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Topic 4: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
Your Microsoft Developing AI Cloud Solutions on Azure Questions, Answered
- Secure, monitor, and optimize AI solutions (20%)
- Develop AI solutions using Azure data services (30%)
- Integrate backend services and build event-driven architectures (25%)
Use the weights to plan how much time each topic deserves.
Basic programming experience (Python, .NET, JavaScript, or similar); familiarity with Azure development, containers, and cloud architectures
Buying the Microsoft Developing AI Cloud Solutions on Azure material ahead of your exam date gives you room to study calmly and to work through several refreshed versions of the question bank as updates arrive. Early preparation turns revision into a routine instead of a last-minute rush.
AI-200 requires 700 (out of 1000) to pass, and the official exam fee is $165 USD. Knowing both numbers early helps you plan the exam date and your study target together.
The AI-200 exam contains 40–60 questions with a 100 minutes-minute limit. Practicing under identical conditions on the PracticeMaterial engine makes time pressure feel familiar rather than frightening.
AI-200T00: Developing AI Cloud Solutions on Azure: Visit official page
Microsoft Certification Registration: register for AI-200
Pearson VUE Scheduling: register for AI-200
Our professionals monitor the latest IT developments and adjust the material as soon as the exam outline shifts. New questions with verified answers are added, old and irrelevant ones are removed, and the size of the Microsoft Developing AI Cloud Solutions on Azure bank is matched to actual exam conditions so your revision stays efficient.
This package includes 144 practice questions for the AI-200 exam, sized to reflect the real test and kept current through regular review.
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You are developing a microservices-based application that uses Azure Container Apps The application consists of several containerized services that handle tasks, such as processing orders, managing inventory, and generating reports.
You must secure the container apps. All apps must reside in the same virtual network, share the same Dapr configuration, and share the same logging location.
Apps must support the configuration of the amount of memory and compute resources available to containers.
You need to configure the Azure Container App
How should you complete the CLI command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Verified Answer: `az containerapp env create ... --enable-workload-profiles`.
Detailed Explanation: The shared boundary for Container Apps is the managed environment. Apps in one environment can share the environment's virtual network integration, observability destination, and Dapr- related environment configuration. Enabling workload profiles provides selectable compute profiles and resource sizing options for workloads in that environment. The CLI must therefore create a Container Apps environment and enable workload profiles. Creating an individual container app alone would not establish the common environment-level network, logging, and resource-profile boundary required by the scenario.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | Azure Container Apps environments
You are building o back end pipeline that receives Al inference requests. The pipeline must perform the following actions:
* Publish a message so that multiple independent consumers receive it.
* Process massages in order through a single consumer entity.
* isolate any failed messages
You need to configure the appropriate Service Bus entities.
How should you configure the service bus entities? To answer, move the appropriate configurations to the correct requirements. You may use each configuration once..
Correct Answer:
Explanation:
You have a newly provisioned Azure subscription. You are designing a custom Event Grid workflow for AI inference events.
You need to implement the Event Grid components to support routing of high-confidence events to a downstream processor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Correct Answer:
Explanation:
Verified Answer: 1) Register the Event Grid resource provider; 2) create a custom topic; 3) create an event subscription.
Detailed Explanation: A newly provisioned subscription must have the Event Grid resource provider available before Event Grid resources can be created. The publisher needs a custom topic as the event-ingress resource, and routing to a downstream processor is then defined by an event subscription on that topic. The event subscription can include filters such as event type or data fields so that only high-confidence events reach the processor. Creating a partner topic or domain is unnecessary for the stated custom workflow.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Create an Event Grid custom topic or domain
You are designing Azure Functions for three different backend workloads.
Each workload requires one of the following dispatching models:
- Return an immediate response to a client.
- Process background work from a queue.
- Run code on a fixed schedule.
You need to select the trigger for each requirement.
Which triggers should you select? To answer, move the appropriate triggers to the correct requirements. You may use each trigger once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
* Return an immediate response to a client: HTTP trigger
* Process background work from a queue: Queue Storage trigger
* Run code on a fixed schedule: Timer trigger
Use an HTTP trigger when a function must be invoked by an HTTP request and return a response directly to the calling client. Microsoft documents HTTP triggers as the standard mechanism for building serverless APIs and handling web requests or webhooks. This makes the HTTP trigger the correct fit for synchronous request- response workloads.
For asynchronous background processing, use an Azure Queue Storage trigger . A queue-triggered function runs when messages are added to an Azure Storage queue. This decouples the producer from the consumer and is appropriate for background processing where work can be buffered and processed independently of the original request. Microsoft also documents target-based scaling for Queue Storage triggers on supported Azure Functions hosting plans.
For scheduled execution, use a Timer trigger . Microsoft states that a timer trigger runs a function according to a configured schedule, typically expressed with an NCRONTAB/CRON expression. This makes it the correct choice for periodic maintenance, scheduled synchronization, reporting, or other fixed-time workloads.
Event Grid and Blob Storage triggers are event-driven mechanisms for event notifications and blob changes respectively, but neither matches these three stated dispatching requirements.
Study Guide references: Azure Functions # HTTP triggers; Queue Storage triggers; Timer triggers; event- driven and scheduled execution.
You are reviewing secret access patterns used by an AI application that retrieves credentials from Key Vault.
You need to evaluate the security impact of each implementation approach.
What is the outcome of each approach? To answer, move the appropriate outcomes to the correct implementations. You may use each outcome once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
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