Free Practice Questions for Microsoft Azure AI Solution Architect Expert (AB-100) Certification

- Assess the use of agents in task automation, data analytics, and decision-making - Review data for grounding, including accuracy, relevance, timeliness, cleanliness, and availability - Organize business solution data to be available for other AI systems

- Implement the AI adoption process from the Cloud Adoption Framework for Azure - Design the strategy for building AI and agents in business solutions - Design a multi-agent solution by using platforms such as Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry - Develop the use cases for prebuilt agents in the solution - Define the solution rules and constraints when building AI components with Copilot Studio, Microsoft Foundry and Foundry Tools - Determine the use of generative AI and knowledge sources in agents built with Copilot Studio - Determine when to build custom agents or extend Microsoft 365 Copilot - Determine when custom AI models should be created - Provide guidelines for creating a prompt library - Develop the use cases for customized small language models for the solution - Provide prompt engineering guidelines and techniques for AI-powered business solutions - Include the elements of the Microsoft AI Center of Excellence - Design AI solutions that use multiple Dynamics 365 apps

- Select ROI criteria for AI-powered business solutions, including the total cost of ownership - Create an ROI analysis for the proposed AI solution for a business process - Analyze whether to build, buy, or extend AI components for business solutions - Implement a model router to intelligently route requests to the most suitable model

- Design business terms for Copilot in Dynamics 365 apps for customer experience and service - Design customizations of Copilot in Dynamics 365 apps for customer experience and service - Design connectors for Copilot in Dynamics 365 Sales - Design agents for integration with Dynamics 365 Contact Center channels - Design task agents - Design autonomous agents - Design prompt and response agents - Propose Foundry Tools for a given requirement - Propose code-first generative pages and the use of an agent feed for apps - Design topics for Copilot Studio, including fallback - Design data processing for AI models and grounding - Design a business process to include AI components in a Power Apps canvas app - Apply the Microsoft Power Platform Well-Architected Framework to intelligent application workloads - Determine when to use standard natural language processing, Azure conversational language understanding, or generative AI orchestration in Copilot Studio - Design agents and agent flows with Copilot Studio - Design prompt actions in Copilot Studio

- Design AI solutions by using custom models in Microsoft Foundry - Design agents in Microsoft 365 Copilot - Design agent extensibility in Copilot Studio - Design agent extensibility with Model Context Protocol in Copilot Studio - Design agents to automate tasks in apps and websites by using Computer Use in Copilot Studio - Design agent behaviors in Copilot Studio, including reasoning and voice mode - Optimize solution design by using agents in Microsoft 365, including Teams and SharePoint

- Orchestrate AI features in Dynamics 365 apps for finance and supply chain - Orchestrate AI features in Dynamics 365 apps for customer experience and service - Propose Microsoft 365 agents for business scenarios - Orchestrate the configuration of Microsoft 365 Copilot for Sales and Microsoft 365 Copilot for Service - Propose Microsoft Power Platform AI features, including AI hub - Design interoperability of the finance and operations agent chats to use additional knowledge sources - Recommend the process of adding knowledge sources to in-app help and guidance for Dynamics 365 Finance or Dynamics 365 Supply Chain Management apps

- Recommend the process and tools required for monitoring agents - Analyze backlog and user feedback of AI and agent usage - Apply AI-based tools to analyze and identify issues and perform tuning - Monitor agent performance and metrics - Interpret telemetry data for performance and model tuning

- Recommend the process and metrics to test agents - Create validation criteria of custom AI models - Validate effective Copilot prompt best practices - Design end-to-end test scenarios of AI solutions that use multiple Dynamics 365 apps - Build the strategy for creating test cases by using Copilot

- Design the ALM process for data used in AI models and agents - Design the ALM process for Copilot Studio agents, connectors, and actions - Design the ALM process for Microsoft Foundry agents - Design the ALM process for custom AI models - Design the ALM process for AI in Dynamics 365 apps for finance and supply chain - Design the ALM process for AI in Dynamics 365 apps for customer experience and service

- Design security for agents - Design governance for agents - Design model security - Analyze solution and AI vulnerabilities and mitigations, including prompt manipulation - Review solution for adherence to responsible AI principles - Validate data residency and movement compliance - Design access controls on grounding data and model tuning - Design audit trails for changes to models and data