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Microsoft AI-200 Exam - Topic 1 Question 9 Discussion

Posted by Chantay on Oct 25, 2026 at 01:57 AM

You need to deploy a batch embedding workload according to the planned application architecture.

What should you use?

Suggested Answer: A

The batch embedding workload is planned to run in Azure Kubernetes Service (AKS), and Kubernetes workloads should be defined declaratively by using YAML manifest files. Microsoft states that a Kubernetes manifest defines the desired state of cluster resources, including Deployments, Jobs, Services, ConfigMaps, and other Kubernetes objects. These manifests can then be deployed by using kubectl apply -f <manifest>.yaml.

For this case, YAML is particularly appropriate because the technical requirements emphasize repeatable, version-controlled, automated deployments. A batch vector embedding regeneration process would typically be represented as a Kubernetes workload such as a Job or another batch-oriented resource, with its configuration committed to Git alongside the rest of the deployment definitions.

kubectl run and kubectl create are imperative commands and are less appropriate for a controlled Git-based deployment model because they do not inherently preserve the complete desired-state definition as source-controlled configuration. XML is not the standard Kubernetes manifest format. az aks commands are primarily used to provision and manage the AKS cluster itself rather than declaratively define application workloads running inside the cluster.

Therefore, the correct choice is YAML-formatted Kubernetes manifest files.

Study Guide references: Azure Kubernetes Service Kubernetes manifests; declarative deployments; kubectl apply; Git-based workload configuration.


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