Microsoft AB-100: Agentic AI Business Solutions Architect

About this course

The questions in this course focus on key concepts, terminology, and scenario-based decision making related to agent-based AI business solutions. Each question includes a clear explanation to help you understand the reasoning behind the correct answer and reinforce core ideas.This course is designed for knowledge testing and self-assessment, allowing you to evaluate how well you understand the subject areas commonly associated with agentic AI business solution design.Skills and Topics CoveredThe practice questions broadly cover the following areas:Planning AI-Powered Business SolutionsAnalyzing business and technical requirementsEvaluating data grounding and contextual inputsAssessing value creation and return on investment considerationsDesigning AI-Powered Business SolutionsDesigning agent-based solution architecturesAdapting copilots for specific business scenariosApplying prompt design and optimization conceptsDeploying AI-Powered Business SolutionsMonitoring and optimizing agent performanceManaging solution lifecycle and change processesApplying security, governance, and responsible AI principlesPlatforms and Tools ReferencedAgent and copilot design toolsAI development and orchestration platformsLow-code and automation solutionsEnterprise business applicationsWho This Course Is ForThis course is suitable for learners who want to:Self-assess their understanding of agentic AI business solution conceptsIdentify strengths and knowledge gapsReinforce understanding through question-based learningThe questions span a broad range of topics, including AI-powered business solutions, agent workflows, and governance considerations.

Course objectives

• Self-assess your knowledge of agentic AI solutions
• Reinforce key concepts through scenario-based learning
• Learn to manage the lifecycle and optimization of AI solutions