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Updated: Sep 24, 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
Available Languages:English
Related Certifications:Microsoft Certified: Azure AI Cloud Developer Associate
Passing Score:700
Exam Duration:100 minutes
Exam Format:Multiple Choice, Proctored Exam, Hands-on/Performance-based Items, Interactive Questions, Case Study
Sample Questions:Microsoft AI-200 Sample Questions
Exam Way:Online proctored or test center delivery through Pearson VUE.
Pre Condition:Candidates should have experience with Python programming, Azure services, Azure data management services, Azure monitoring, Azure messaging and eventing, vector databases, and containerized applications. No mandatory prerequisite exam is required.
Official Syllabus URL:https://learn.microsoft.com/en-us/credentials/certifications/azure-ai-cloud-developer-associate/

Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Develop AI solutions by using Azure data management services- Work with Azure data platforms for AI workloads
  • 1. Azure data management services
  • 2. Data integration for AI applications
  • 3. Vector databases
Connect to and consume Azure services- Integrate Azure services
  • 1. Azure messaging and eventing
  • 2. Serverless integration patterns
  • 3. Third-party SDKs
  • 4. Event-driven architectures
  • 5. Azure SDKs
Secure, monitor, troubleshoot Azure solutions- Operate AI cloud solutions
  • 1. Security and secret management
  • 2. Monitoring and observability
  • 3. Performance optimization
  • 4. Troubleshooting Azure solutions
Develop containerized solutions on Azure- Implement containerized applications
  • 1. Implement scalable hosting patterns
  • 2. Deploy AI workloads in containers
  • 3. Manage containerized compute environments

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

Question #1

You must ensure an Azure OpenAI-powered application never exceeds a defined token-per-minute budget across all users to avoid runaway costs.
What should you configure?

  • A. A vector index size limit in Azure AI Search
  • B. Deployment-level rate limits (TPM/RPM) in Azure AI Foundry
  • C. Model temperature
  • D. Content filtering severity levels
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

You need to improve throughput for concurrent application requests to PostgreSQL.
What should you implement?

  • A. Enable read replicas.
  • B. Increase max_connections.
  • C. Implement connection pooling.
  • D. Increase shared_buffers.
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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Question #3

Hotspot Question
You have an Azure Functions app using the Consumption hosting plan for a company. The app contains the following functions:

You plan to enable dynamic concurrency on the app. The company requires that each function has its concurrency level managed separately.
You need to configure the app for dynamic concurrency.
Which file or function names should you use? To answer, select the appropriate values in the answer area.
NOTE: Each correct selection is worth one point.

Reveal Solution  Discussion  0

Correct Answer:


Explanation:
* File name: host.json
* Function name: f3
Azure Functions dynamic concurrency is enabled at the function-app host level in the host.json file . The concurrency configuration section contains the dynamicConcurrencyEnabled property. Setting this value to true enables the Functions host to dynamically learn and adjust concurrency levels for supported triggers rather than requiring fixed manual limits.
Although dynamic concurrency is enabled globally, Microsoft explicitly states that the learned concurrency level is managed independently for each individual function . This allows a resource-intensive function to operate at a lower concurrency level while a lightweight function in the same app can execute with greater concurrency, protecting host health while maximizing throughput.
Of the functions listed, f3 , which uses an Azure Queue Storage trigger , supports dynamic concurrency.
Microsoft currently documents dynamic concurrency support for Azure Queue Storage, Azure Blob Storage, and Azure Service Bus triggers , subject to the required extension versions. HTTP and Timer triggers do not participate in this dynamic-concurrency model.
Therefore, configure dynamic concurrency in host.json , and f3 is the function whose concurrency will be dynamically managed.
Study Guide references: Azure Functions # Concurrency; Dynamic concurrency; host.json; Queue Storage trigger concurrency.

Question #4

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.

Reveal Solution  Discussion  0

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.

Question #5

You are reviewing the message processing code in a backend worker service.
You review the following Python code that initializes and starts a Service Bus processor

Reveal Solution  Discussion  0

Correct Answer:


Explanation:

Verified Answer: No; Yes; No.
Detailed Explanation: The default Service Bus receive behavior is PeekLock rather than receive-and-delete, so merely receiving a message does not remove it from the queue; it must be settled successfully. If processing fails and the message remains unsettled or the lock is lost, it can become available for another delivery. Invalid JSON, however, is an application-level content problem: Service Bus does not inspect the payload as JSON and automatically retry it to MaxDeliveryCount solely because deserialization fails. The application's settlement/error path determines what happens.
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 | Service Bus message transfers, locks, and settlement | Service Bus messages, routing, and correlation

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