When building AI-powered business solutions, it is not enough to prepare data for a single model or agent. You also need to ensure that data can be accessed, understood, and safely used by other AI systems that may run alongside it. This is essential for multi‑agent designs, pipelines, and environments where tools such as Copilot READ MORE
Category: AB-100
AB-100: Reviewing Data for Effective Grounding in Generative AI
High‑quality data sits at the heart of every effective Generative AI solution. If your grounding data is incomplete, outdated, irrelevant, or poorly structured, then even the best‑designed agent will struggle to produce useful responses. This principle is often summarised as “garbage in, garbage out”, and it sets the stage for why careful data review is READ MORE
AB-100: Assess the Use of Agents in Task Automation, Data Analytics, and Decision-Making
Agents form the backbone of modern AI‑powered business solutions. In the AB‑100 exam, you will need to understand what agents are, how they work, and where they create tangible value across task automation, data analytics, and decision-making. This article breaks down these capabilities and connects them to real business use cases. What Are Agents? Agents are AI‑powered systems READ MORE
What do I need to learn for the Microsoft AB-100 exam?
The AB-100 exam “Agentic AI Business Solutions Architect” was launched early in 2026. It tests your ability to envision and implement AI-powered architecture using Microsoft products. It requires significant knowledge of how to design agentic-first solutions, with a lot of knowledge of Dynamics 365, Power Platform, Copilot Studio, Microsoft Foundry, and Foundry Tools. Please use READ MORE