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Microsoft AI-200 Exam Syllabus Topics:

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

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. Drag and Drop Question
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.


2. Hotspot Question
A company uses Azure Monitor Application Insights to monitor application behavior, including incoming requests and dependencies.
You must identify failed requests from the last hour. You must also calculate the average duration of failed request dependency calls, grouped by operation name.
You need to analyze telemetry in Application Insights.
Which operators should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


3. Hotspot Question
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.


4. Hotspot Question
You are developing a Retrieval-Augmented Generation (RAG) solution for a company.
AI responses and embedding vectors are cached in Redis.
The solution must meet the following requirements:
- AI responses must expire exactly 24 hours after they are cached.
- Cached embeddings must always reflect the current source data.
You need to configure Redis to meet the requirements.
NOTE: Each correct selection is worth one point.


5. Hotspot Question
You deploy a Linux container image to App Service.
The container requires the following environment variables at runtime:
- A non-sensitive configuration value named MODEL_VERSION
- A database password that must remain secure
You need to configure App Service to provide these environment variables at runtime.
Which configurations should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.


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