AB-100 cheat sheet

Exam at a glance

Domain weightings

How much of the exam each domain covers. Spend your study time in proportion — the heavier the domain, the more questions you'll see.

Key terms

Agentic AI

Agentic AI is an approach in which AI agents autonomously plan and take multi-step actions toward a goal rather than answering a single prompt. AB-100 centers on designing agentic-first business solutions.

Multi-agent orchestration

Multi-agent orchestration is the coordination of several specialized agents that collaborate to complete a complex task. AB-100 covers designing multi-agent solutions across Microsoft 365 Copilot, Copilot Studio, and Foundry.

Copilot Studio

Microsoft Copilot Studio is the low-code platform for building custom agents, topics, and prompt actions. AB-100 covers designing agents, agent flows, extensibility, and behaviors in Copilot Studio.

Microsoft Foundry

Microsoft Foundry is Microsoft's platform for building and operating custom models and the Foundry Agents service. AB-100 covers designing custom models and the ALM process for the Foundry Agents service.

Foundry Tools

Foundry Tools are the Azure AI capabilities — such as vision, search, and document understanding — proposed to meet business requirements. AB-100 covers selecting Foundry Tools for a given requirement.

Model Context Protocol

The Model Context Protocol (MCP) is an open standard that lets agents connect to external tools and data sources in a uniform way. AB-100 covers designing agent extensibility with MCP in Copilot Studio.

A2A

A2A (Agent2Agent) is an open protocol for interoperability and communication between independent AI agents. AB-100 expects expertise working with open standards including A2A and MCP.

Model router

A model router is a component that intelligently directs each request to the most suitable model for cost and quality. AB-100 covers implementing a model router when evaluating solution costs and benefits.

ROI analysis

An ROI analysis is an evaluation of the return on investment, including total cost of ownership, for an AI-powered solution. AB-100 requires creating an ROI analysis for a proposed business-process solution.

Cloud Adoption Framework

The Cloud Adoption Framework for Azure is Microsoft's guidance for adopting cloud and AI at scale, including an AI adoption process. AB-100 covers implementing that AI adoption process in an overall strategy.

ALM

ALM (application lifecycle management) is the process of managing a solution from development through deployment and maintenance. AB-100 covers designing the ALM process for agents, connectors, custom models, and data.

Grounding

Grounding is anchoring an AI model's responses in trusted business data so outputs are accurate and relevant. AB-100 covers reviewing data for grounding and designing access controls on grounding data.

Prompt manipulation

Prompt manipulation (prompt injection) is an attack that plants adversarial instructions to subvert an agent's intended behavior. AB-100 covers analyzing vulnerabilities and mitigations including prompt manipulation.

Responsible AI

Responsible AI is Microsoft's standard of principles for trustworthy AI, including fairness, reliability, safety, privacy, security, inclusiveness, transparency, and accountability. AB-100 requires reviewing solutions for adherence to it.

Dynamics 365

Dynamics 365 is Microsoft's suite of business applications for finance, supply chain, sales, and customer service that AB-100 architects extend with AI and Copilot. AB-100 covers orchestrating AI features across Dynamics 365 apps.