A deployment is created successfully but every inference request returns 401. The application's managed identity holds Contributor on the Foundry resource. What is the cause?
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Plan and manage an Azure AI solution
10 questions in topicChoosing appropriate models and Foundry services for generative, grounding, vector search, agent and multimodal tasks; designing infrastructure, deployment options and CI/CD integration; managing quota, scaling, rate limits and cost; monitoring performance, drift, safety and grounding quality; securing with managed identity and private networking; and implementing responsible AI through filters, evaluators, auditing and agent governance.
A team wants to reference a model in application code by a stable name that does not change when the underlying model version is upgraded. What should the code call?
An application must call a Foundry deployment with no stored credential and no public network exposure. Which TWO configurations are required? (Choose two.)
A nightly job processes 2 million documents through a model. Results are needed by morning and cost must be minimised. Which deployment type fits?
Which observation indicates that a deployment's quota is genuinely insufficient rather than that its traffic is bursty?
A Foundry project's flows must move through development, test, and production with the same definition and environment-specific targets. What should be parameterised?
A model version pinned to a production deployment reaches its retirement date and the deployment stops serving requests. Which upgrade policy would have prevented the outage without introducing an unvalidated version earlier?
Which control prevents an agent from taking an irreversible action without human authorisation?
A RAG assistant is blocked by the default content filter when summarising legitimate clinical documents. What is the correct remedy?
Which TWO signals belong to monitoring the quality of an AI system rather than its infrastructure? (Choose two.)