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Microsoft AI-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
An application deployed to AKS depends on an internal API hosted in the same cluster. All pods are healthy and report Ready status, but requests between the services time out.
You need to determine whether the issue is related to Kubernetes service configuration or application code.
What should you do first?
- A. Inspect Service and Endpoints objects.
- B. Increase replica count for both services.
- C. Test DNS resolution from your workstation.
- D. Restart the failing deployment.
Correct Answer: A 🗳️
An AI platform uses App Configuration for feature flags and endpoint routing.
The platform stores secrets alongside configuration data and does NOT support dynamic configuration refresh.
You need to redesign the configuration approach so that:
configuration supports dynamic refresh;
secrets are stored outside App Configuration;
the application can securely access both App Configuration and Key Vault.
You need to enable secure dynamic configuration management for the platform.
Which three actions should you perform? Each correct answer presents part of the solution. Choose three.
NOTE: Each correct selection is worth one point.
- A. Allow configuration updates with a polling interval.
- B. Use a service principal secret for both App Configuration and Key Vault access.
- C. Use managed identity for both App Configuration and Key Vault access.
- D. Store configuration values in environment variables.
- E. Store API keys in Key Vault.
Correct Answer: A,C,E 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
You plan to deploy a web application to AKS.
The solution must:
* Scale out the application by adding more pods during peak CPU usage
* Expose the application internally within the cluster only
You need to configure a Kubernetes resource for each requirement
Which resources should you configure? To answer, move the appropriate resources to the correct requirements You may use each resource once, more than once, or not at all. You may need to move split bar between .. or scroll to view content.
Correct Answer:
Explanation:
Verified Answer: Scale out the application: HorizontalPodAutoscaler. Expose internally only: ClusterIP service.
Detailed Explanation: The Kubernetes HorizontalPodAutoscaler increases or decreases pod replicas in response to CPU, memory, or other metrics, so it is the resource that implements CPU-driven pod scale-out. A ClusterIP service creates an internal service IP that is reachable within the Kubernetes cluster and is the normal choice for an internal-only service. A Deployment defines the workload but does not itself implement metric-driven autoscaling, while Ingress is intended to route inbound network traffic.
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 | AKS scaling overview | Kubernetes services in AKS
You develop an ASP.NET Core app that uses Azure App Configuration. You also create an App Configuration containing 100 settings. The app must meet the following requirements:
* Ensure the consistency of all configuration data when changes to individual settings occur.
* Handle configuration data changes dynamically without causing the application to restart.
* Reduce the overall number of requests made to App Configuration APIs
You must implement dynamic configuration updates in the app.
What are two ways to achieve this goal? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
- A. Decrease the App Configuration cache expiration from the default value.
- B. Register all keys in the App Configuration store Set the refreshAll parameter of the Register method to false.
- C. Increase the App Configuration cache expiration from the default value.
- D. Create and configure Azure Key Vault. Implement the Azure Key Vault configuration provider
- E. Create and register a sentinel key in the App Configuration store. Set the refreshAll parameter of the Register method to true
- F. Create and implement environment variables for each App Configuration store setting
Correct Answer: C,E 🗳️
Explanation: Only visible for DumpsTorrent members. You can sign-up / login (it's free).
You deploy a private container image from Azure Container Registry (ACR) to App Service.
App Service must authenticate to ACR to pull the image.
The solution must NOT store static registry credentials.
You need to configure the secure image pull authentication.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
uthenticate App Service to ACR: assign the registry pull role to a managed identity. Avoid static credentials:
configure App Service to use that managed identity for the image pull.
Detailed Explanation: App Service can pull a private image from Azure Container Registry by using a managed identity rather than registry username/password credentials. The identity must be granted an appropriate pull-only registry role at the registry scope, preserving least privilege. A webhook does not authenticate an image pull, and enabling the ACR admin account or storing a registry password would introduce static credentials. The managed-identity approach satisfies both secure authentication and credential- elimination requirements.
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 | Configure a custom container for App Service | Managed identities for Azure resources
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