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Microsoft Machine Learning Operations Engineer Associate52 / 144
Question 52 of 144
Your team manages an Azure AI Foundry project using infrastructure-as-code. You author a Bicep template that provisions the Foundry resource, a project, and a model deployment. During CI/CD you must be able to re-run the same deployment repeatedly (for example after adding a new model deployment) without recreating existing resources or causing errors, and the deployment name for each model must be supplied at build time per environment. Which approach best meets these requirements?
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