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Microsoft Developing AI Cloud Solutions on Azure : AI-200 exam dump
- Exam Code: AI-200
- Exam Name: Developing AI Cloud Solutions on Azure
- Updated: Sep 26, 2026
- Q&As: 144 Questions and Answers
About Microsoft Developing AI Cloud Solutions on Azure : AI-200 exam dump
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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Plan and manage Azure AI solutions | - Plan security and compliance requirements - Monitor and optimize AI solutions - Select appropriate Azure AI services |
| Topic 2: Implement Azure AI solutions | - Implement generative AI solutions using Azure OpenAI - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement natural language processing solutions |
| Topic 3: Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
Question #1
You are designing a message based order processing system by using Azure Service Bus.
Each order message must be processed in the same sequence it was received. In addition, a separate audit service must receive copies of all order messages far compliance tracking You need to configure a Service Bus namespace and its entities to meet the ordering and audit requirements Which service bus options should you use? To answer, select the appropriate options m the answer area NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
Question #2
You are provisioning and configuring a Service Bus processor for AI batch jobs.
The processor must connect to an existing queue, register handlers for message and error processing, and then begin receiving messages.
You need to provision and configure the Service Bus processor for message and error handling.
Which four 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) Create the Service Bus client; 2) create the queue processor/receiver; 3) register message and error handlers; 4) start the message processor.
Detailed Explanation: The processor depends on a namespace client/connection, so the client is created first.
Next, the queue-specific processor or receiver is created from that client. Message and error callbacks must be registered before processing starts so incoming messages and failures have defined handlers. Starting the processor is therefore the final step. Dead-lettering failed messages is an optional application settlement decision and is not a prerequisite for constructing and starting the processor.
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
Question #3
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history. The API key must not be stored in application configuration directly. The API key must be accessed securely from Azure Key Vault.
You need to ensure that the API key is stored securely in Azure Key Vault and is available to the container at runtime without being exposed in source control or Git commit history.
Solution: Store the API key as an App Service application setting configured through the Azure Portal.
Does the solution meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
Question #4
You are implementing an application by using Azure Event Grid to push near-real-time information to customers.
You have the following requirements:
* You must send events to thousands of customers that include hundreds of various event types.
* The events must be filtered by event type before processing.
* Authentication and authorization must be handled by using Microsoft Entra ID.
* The events must be published to a single endpoint
You need to implement Azure Event Grid
Solution: Publish events to a partner topic. Create an event subscription for each customer.
Does the solution meet the goal?
- A. Yes
- B. No
Correct Answer: B 🗳️
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Question #5
You are developing several microservices to run on Azure Container Apps.
You need to monitor and diagnose the microservices.
Which features should you use? To answer, select the appropriate feature in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
View console logs from a container in near real-time: Log streaming
* Debug the microservice from inside the container: Container console
For near-real-time troubleshooting, use Log streaming . Azure Container Apps supports streaming both system logs and container console logs directly through the Azure portal or Azure CLI. Microsoft documents that container console logs originate from the application ' s stdout and stderr streams, and the log-streaming feature can display them in near real time. This is the correct feature when developers need immediate visibility into container output without waiting for log ingestion into a monitoring workspace.
To debug the application from inside the running container , use the Container console . Azure Container Apps allows operators to connect interactively to a container by using the portal console or the az containerapp exec command. From there, they can run commands through shells such as bash or sh, inspect files, test network connectivity, examine environment variables, and troubleshoot runtime behavior directly in the container context.
Azure Monitor metrics are appropriate for aggregated performance measurements rather than interactive container debugging. Azure Monitor Log Analytics is useful for historical queries and centralized analysis, but Microsoft notes that ingested logs can have a delay of several minutes, so it is not the best choice for near- real-time console output.
Study Guide references: Azure Container Apps # Log streaming; Container console; observability; Azure Monitor integration; interactive troubleshooting.
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