Correct Answer: Configure your application to use Key 2, regenerate Key 1, and then update your application to use the new Key 1
Azure AI Services provide two access keys (Key 1 and Key 2). By switching the active application to use Key 2, you can safely regenerate Key 1 without interrupting service. Once Ke...
Correct Answer
Configure your application to use Key 2, regenerate Key 1, and then update your application to use the new Key 1
Why This Answer Is Correct
Azure AI Services provide two access keys (Key 1 and Key 2). By switching the active application to use Key 2, you can safely regenerate Key 1 without interrupting service. Once Key 1 is regenerated, you can update the application to use it, and then regenerate Key 2 if needed.
This question evaluates your knowledge of Azure AI Services Security — a core concept tested in Microsoft Certified: Azure AI Engineer Associate (AI-102). Understanding Azure AI Services Security is essential for designing scalable, secure, and cost-effective cloud architectures. Mastery of this topic will help you answer scenario-based questions confidently on exam day.
You need to restrict access to an Azure AI Services resource so that only client applications deployed inside a specific Azure Virtual Network (VNet) can connect. All traffic over the public internet should be blocked. Which configuration should you implement?
You want to allow your Azure AI Services resources to read secure training images from an Azure Blob Storage container that has public network access disabled. How should you authorize this access?