AB-100 Agentic AI Business Solutions Architect Exam Topics and Questions
These Microsoft Agentic AI Business Solutions Architect (AB-100) exam topics are organized according to official exam domains to help candidates quickly verify coverage and focus on assessment rather than theory. Each domain is paired with topic-wise AB-100 sample questions that reflect how objectives are tested in the actual exam. This structure enables efficient review, targeted self-assessment, and rapid identification of weak areas when preparing for the Microsoft Agentic AI Business Solutions Architect certification exam.
Let's Practice Free Microsoft AB-100 Questions Aligned with Official Exam Topics
Exam Contains: 3 Topics
Topic Content
Plan AI-powered business solutions by analyzing requirements for AI-powered implementations, including assessing the use of agents in task automation, data analytics, and decision-making capabilities. Review data quality for grounding purposes, focusing on accuracy, relevance, timeliness, cleanliness, and availability, while organizing business solution data to be accessible for other AI systems. Design an overall AI strategy by implementing the AI adoption process from the Cloud Adoption Framework for Azure, designing strategies for building AI and agents, and creating multi-agent solutions using...
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Sample Questions for Topic 1 : Plan AI-powered business solutions
Q1
You are evaluating ROI for a proposed multi-agent AI solution using Microsoft 365 Copilot and Copilot Studio. What criteria should you include in your ROI analysis to ensure comprehensive cost-benefit evaluation?
Topic Content
Design AI-powered business solutions by creating and customizing Copilot experiences across Dynamics 365 applications for customer experience and service, including designing business terms, connectors for Sales, and agents for Contact Center integration. Develop various agent types such as task agents, autonomous agents, and prompt-response agents while leveraging Foundry Tools and code-first generative pages with agent feeds. Design comprehensive Copilot Studio topics with fallback mechanisms, implement data processing for AI model grounding, and integrate AI components into Power Apps canvas applications...
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Topic Content
Analyze, monitor, and tune AI-powered business solutions by implementing comprehensive monitoring processes and tools for agents while analyzing backlog and user feedback to identify usage patterns. Apply AI-based analytical tools to detect issues and perform necessary tuning adjustments, continuously monitor agent performance metrics, and interpret telemetry data to inform performance optimization and model refinement strategies. Manage testing of AI-powered business solutions by establishing testing processes and metrics specific to agents, creating validation criteria for custom AI models, and validating Copilot...
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