Exam Name: Developing AI Cloud Solutions on Azure
Certification Provider: Microsoft
Corresponding Certification: Azure AI Engineer Associate
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Updated: Sep 12, 2026
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Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Implement Azure AI solutions | - Implement computer vision solutions - Implement knowledge mining with Azure AI Search - Implement natural language processing solutions - Implement generative AI solutions using Azure OpenAI |
| Plan and manage Azure AI solutions | - Select appropriate Azure AI services - Monitor and optimize AI solutions - Plan security and compliance requirements |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
You deploy an API to Azure Container Apps.
The solution must provide the following functionality:
* Support the concurrent activation of multiple application versions.
* Allocate a specific percentage of incoming requests to a secondary version You need to configure revision behavior.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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:
oncurrent active versions: Multiple revision mode. Route a percentage to the secondary version: Traffic splitting.
Detailed Explanation: Azure Container Apps supports side-by-side application versions through multiple revision mode. Once multiple revisions can be active, ingress traffic can be distributed by percentage across those revisions. This is the required combination for canary or controlled rollout scenarios. Single revision mode deactivates the previous revision as a new one becomes active, while traffic splitting is the specific feature that assigns a percentage of incoming requests to each active revision.
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 revisions
You are creating a hazard notification system that has a single signaling server which triggers audio and visual alarms to start and stop.
You implement Azure Service Bus to publish alarms, each alarm controller uses Azure Service Bus to receive alarm signals as part of a transaction Alarm events must be recorded for audit purposes Each transaction record must include information about the alarm type that was activated.
You need to implement a reply-trail auditing solution
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Assign the value of the hazard message SessionId property to the ReplyToSessionld property.
- B. Assign the value of the hazard message MessageId p ' operty to the DeliveryCount property.
- C. Assign the value of the hazard message MessageId property to the CorrelationId property
- D. Assign the value of the hazard message MessageId property to the SequenceNumber property
- E. Assign the value of the hazard message SessionId property to the SequenceNumber property.
- F. Assign the value of the hazard message SequenceNumber property to the DeliveryCount property.
Correct Answer: A,C 🗳️
Explanation: Only visible for PassTestking members. You can sign-up / login (it's free).
You need to deploy Azure Function resources and apps to meet the business and technical requirements.
What should you use?
- A. Local Git deployment
- B. GitHub Actions
- C. Azure CLI
- D. Azure Functions Core Tools
Correct Answer: B 🗳️
Explanation: Only visible for PassTestking members. You can sign-up / login (it's free).
You are configuring an Azure-hosted AI application that uses Azure App Configuration to manage its runtime settings.
The application must provide the following functionality:
- Support percentage-based, targeted rollouts.
- Maximize token limits per request.
- Store a key that is retrieved securely at runtime.
- Reference a list of supported deployment regions.
You need to configure the App Configuration features for the app.
Which features should you configure? To answer, move the appropriate App Configuration features to the correct configuration items. You may use each App Configuration features 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:
* Support percentage-based, targeted rollouts: Feature flag
* Maximize token limits per request: Key-value
* Store a key that is retrieved securely at runtime: Key Vault reference
* Reference a list of supported deployment regions: Key-value
Azure App Configuration provides three distinct mechanisms for these scenarios. A Feature flag is the correct choice for percentage-based and targeted rollouts. Feature Management supports conditional activation based on filters such as percentage allocation, users, groups, and other targeting criteria, making it appropriate for gradual deployment and controlled experimentation.
A Key-value is the correct mechanism for ordinary runtime configuration data such as a model token limit or a list of supported deployment regions. These values are application settings rather than secrets or feature- state controls. The application can retrieve and refresh them dynamically without redeployment. A token-limit setting such as MaxTokensPerRequest and a region list such as SupportedRegions fit naturally into App Configuration key-value entries.
For sensitive data, use a Key Vault reference . App Configuration stores only the reference to the Azure Key Vault secret rather than the secret value itself. At runtime, the application resolves the secret securely, typically by using a managed identity. This avoids embedding credentials or sensitive keys in configuration values.
Therefore, the correct mapping is Feature flag # Key-value # Key Vault reference # Key-value .
Study Guide references: Azure App Configuration # Feature Management; key-values; Key Vault references; dynamic application configuration.
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. No
- B. Yes
Correct Answer: A 🗳️
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