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The Microsoft AI-200 Certification Exam is one of the valuable credentials that are designed to prove an Microsoft aspirant's technical expertise. With the Developing AI Cloud Solutions on Azure (AI-200) certificate they can be competitive and updated in the highly competitive market. The Microsoft Certification Questions offers a great opportunity for beginners and experienced professionals to not only validate their skills but also advance their careers.

Microsoft AI-200 Exam Syllabus Topics:

SectionObjectives
Plan and manage Azure AI solutions- Monitor and optimize AI solutions
- Plan security and compliance requirements
- Select appropriate Azure AI services
Implement and monitor AI workloads- Deploy AI models and services
- Monitor performance and troubleshoot issues
Implement Azure AI solutions- Implement knowledge mining with Azure AI Search
- Implement computer vision solutions
- Implement generative AI solutions using Azure OpenAI
- Implement natural language processing solutions

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Microsoft Developing AI Cloud Solutions on Azure Sample Questions (Q69-Q74):

NEW QUESTION # 69
You need to configure image build automation based on the technical requirements.
Which settings should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
* Trigger for container images build: Base image update
* Implementation of image builds: ACR Task
The correct trigger is Base image update because Proseware requires every custom container image to be rebuilt automatically whenever its Docker Hub base image changes. Azure Container Registry Tasks can detect base-image dependencies from the Dockerfile FROM instruction and automatically trigger a rebuild when that base image is updated. Microsoft confirms that ACR Tasks can track base images in public repositories such as Docker Hub and Microsoft Container Registry, as well as images stored in Azure Container Registry.
The build implementation must be an ACR Task . This directly satisfies the technical requirement that image- build automation run inside Azure Container Registry , eliminating dependencies on local developer machines or separate external build services. ACR Tasks provides cloud-based container building and can automate builds based on source-code commits, base-image updates, or scheduled triggers.
A GitHub workflow could orchestrate CI/CD, but using it as the actual image-building implementation would conflict with the explicit requirement that builds execute inside ACR. Docker Compose defines multi- container applications; it is not the native ACR build automation mechanism. A Commit trigger addresses source changes rather than the stated base-image update requirement, while Scheduled builds would introduce unnecessary periodic execution.
Study Guide references: Azure Container Registry Tasks; base-image dependency tracking; automated rebuilds; Docker Hub base-image triggers; cloud-native container builds.


NEW QUESTION # 70
A Python API running in ACA must send distributed traces to Azure Monitor.
The API creates spans. However, no traces appear in Azure Monitor.
You need to configure the OpenTelemetry SDK pipeline to export traces to Azure Monitor.
What should you do? To answer, move the appropriate actions to the correct requirements. You may use each action 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.

Answer:

Explanation:

Explanation:
Verified answer: Register a global trace provider # initialize the application TraceProvider. Export traces to Azure Monitor # create/configure AzureMonitorTraceExporter. Connect exporter to provider # add a span processor. Generate spans # use tracer.start_as_current_span(...).
Detailed Explanation: OpenTelemetry tracing is a pipeline: the application obtains a tracer from a configured provider, creates spans, passes ended spans through a span processor, and exports them using the Azure Monitor exporter. Creating spans alone is insufficient; without the provider/processor/exporter chain, no telemetry reaches Azure Monitor. Log sampling and legacy Application Insights TrackEvent calls are unrelated to the required OpenTelemetry trace-export path.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Enable Azure Monitor OpenTelemetry


NEW QUESTION # 71
You have container source code stored in a Git repository.
The container registry must automatically build and store a new container image whenever a developer commits code to the Git repository.
You must minimize the use of an external build infrastructure.
You need to configure Azure Container Registry (ACR) to manage the build process natively and automatically.
Which two ACR components should you use? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: C,D

Explanation:
Azure Container Registry Tasks provides Azure-hosted container build capabilities, eliminating the need to maintain external Docker build servers or dedicated CI build infrastructure. A Quick task uses commands such as az acr build to send the build context to ACR-managed compute, where Azure builds the container image and, by default, pushes the successfully built image directly into the registry. Microsoft describes quick tasks as cloud-based, on-demand build-and-push operations that do not require a local Docker Engine.
For automatic execution after source-code changes, use a Source-triggered task . ACR Tasks can associate a task with a GitHub or Azure Repos repository and automatically execute the image build whenever code is committed to the configured branch. Microsoft documents that when a commit occurs, the source-control trigger causes ACR Tasks to build and push the resulting image.
A Webhook is not the required standalone ACR build component here. ACR Tasks creates and manages the necessary source-repository webhook as part of configuring the source trigger. An Artifact Cache rule caches upstream container artifacts and does not build application images from Git commits.
Study Guide references: Azure Container Registry Tasks # Quick tasks; Automatically triggered tasks; Source-code commit triggers; cloud-based image builds.


NEW QUESTION # 72
You are deploying an AI service to Azure Container Apps.
The service must retrieve secrets securely from Key Vault by using managed identity.
You need to configure secure access.
Which three 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.

Answer:

Explanation:

Explanation:


NEW QUESTION # 73
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.

Answer:

Explanation:

Explanation:


NEW QUESTION # 74
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