What's changed: Added per-section figures (cert-figure-retrofit). New AI-901 Chapter 4 (Domain 2: agent definition = goal→autonomous plan→tool execution→loop, building blocks = instructions/model/knowledge/tools, function calling, difference from generative AI, Foundry Agent Service, multi-agent, safety = least privilege/human-in-the-loop/Content Safety)
4.2Building Agents in Foundry
Understand building agents with Foundry Agent Service in Microsoft Foundry (compose model + instructions + knowledge + tools), multi-agent orchestration, and safety practices for operating agents (permissions, approval, monitoring).
In Microsoft Foundry you build and run agents with Foundry Agent Service. The recipe: (1) pick a deployed model → (2) write instructions (role/constraints) → (3) connect knowledge (reference data) → (4) register usable tools. Combined, these produce an agent that takes a goal and acts autonomously. Note how the earlier pieces (model deployment, grounding, tools) come together here as a single agent.
4.2.1Multi-agent — dividing roles
Work too complex for one agent becomes manageable when you split roles across multiple agents that collaborate—this is multi-agent. For example, specialized agents for "research," "drafting," and "review," with an orchestrator coordinating the whole. Letting each agent focus on a small task it is good at improves quality and maintainability. For AI-901, it is enough to grasp the concept: complex work can be divided among specialized, collaborating agents.
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