Crucial Exams

Microsoft Azure AI Engineer Associate AI-102 Practice Question

You manage an Azure OpenAI resource that must be provisioned and updated automatically from an Azure DevOps multi-stage YAML pipeline. The solution must satisfy these requirements:

  • Resource and model deployment definitions must be stored in the repository as code.
  • Every pull request must trigger a syntax validation step for the definitions.
  • The same code files must be reused to deploy the resource to the test and production stages.

Which approach should you implement?

  • Export the existing Azure OpenAI resource to a JSON template from the portal and upload the file manually as a pipeline artifact before each release.

  • Add inline Azure CLI tasks in every stage that call az cognitiveservices account create and az cognitiveservices account deployment create with the required parameters.

  • Store the resource and deployment configuration in a Bicep file and add Azure Resource Manager Template Deployment tasks: one task set to Validate in the PR stage and additional tasks set to Create or Update in the test and production stages.

  • Place the resource properties in pipeline variable groups and invoke the Cognitive Services REST API from Bash tasks in each stage.

Microsoft Azure AI Engineer Associate AI-102
Plan and manage an Azure AI solution
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