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Microsoft AI-200 Exam Syllabus Topics:

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

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q65-Q70):

NEW QUESTION # 65
You have an Event Grid subscription that triggers an Azure Function.
You need to prevent loss of events in case the endpoint returns an HTTP 400 response. Which action should you perform?

Answer: A


NEW QUESTION # 66
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
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.
You need to ensure that the API key remains outside of Git commit history and is available to the container at runtime.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?

Answer: A

Explanation:
Correct:
* Store the API key in Azure Key Vault and reference it from an App Service application setting.
Storing the API key in Azure Key Vault and referencing it via App Service application settings is the recommended, secure approach. This strategy completely removes sensitive credentials from your GitHub repository and Git commit history while injecting them safely into your container environment at runtime.
Incorrect:
* Embed the API key as a hardcoded environment variable in the Dockerfile.
* Store the API key as a GitHub repository secret.
Reference:
https://www.qservicesit.com/full-stack-applications-on-azure


NEW QUESTION # 67
You deploy a new revision of an app in ACA.
You need to gradually shift production traffic to the revision while monitoring performance. In addition, you need to be able to quickly roll back.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: C,D

Explanation:
To gradually shift traffic and enable fast rollbacks in Azure Container Apps, switch the app to multiple-revision mode and configure percentage-based traffic splitting weights between the active revisions.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/traffic-splitting


NEW QUESTION # 68
You are developing an application that must extract structured field data (invoice number, total, vendor name) from scanned invoices in multiple layouts. You need a solution that requires no custom model training. What should you use?

Answer: D

Explanation:
The prebuilt invoice model in Azure AI Document Intelligence is trained to recognize common invoice fields (vendor, total, line items, invoice number) out of the box across varied layouts, requiring no training data or custom model.


NEW QUESTION # 69
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.

Answer: B,D

Explanation:
Detailed Explanation: For a multiplexed request/reply pattern, ReplyToSessionId on the request tells the responder which SessionId to place on the reply, so carrying the request SessionId into ReplyToSessionId provides the reply-session routing context. For correlation, the standard request/reply pattern copies the original request MessageId into the reply CorrelationId. SequenceNumber and DeliveryCount are broker- managed delivery metadata and are not writable application correlation fields, so they cannot be used as the proposed audit-link mechanism.
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 messages, routing, and correlation | Service Bus message sessions


NEW QUESTION # 70
......

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