Study Azure AI-900 Foundry and OpenAI: key concepts, common traps, and exam decision cues.
This lesson is mostly about platform boundaries. Microsoft’s certification page now says Azure AI Foundry is now Microsoft Foundry, but the live AI-900 study guide still tests the older wording. At fundamentals depth, you should know what the broader platform surface is for, what Azure OpenAI Service provides, and what the model catalog concept means.
| Surface | AI-900 takeaway |
|---|---|
| Azure AI Foundry | broader Azure generative-AI platform surface for building and working with generative-AI solutions |
| Azure OpenAI Service | Azure access to large language model capabilities |
| Azure AI Foundry model catalog | a place to compare and work with model options at a high level |
Think of the relationship like this:
AI-900 does not expect deep deployment detail, quota detail, or engineering implementation steps.
The rename matters because Microsoft is updating the branding while the exam materials catch up. The safe exam posture is:
AI-900 study guide| Trap | Better rule |
|---|---|
| treating the model catalog as the same thing as a model itself | the catalog is the model-selection surface, not the model |
| assuming Azure OpenAI Service replaces every other Azure AI service | it is one generative-AI service family, not the answer to every AI question |
| thinking the Foundry rename means the exam no longer follows the current study guide | the study guide still defines the tested scope |