Microsoft · Expert
Microsoft Agentic AI Business Solutions Architect (AB-100)
Architect enterprise agentic-first AI solutions across Copilot Studio, Microsoft Foundry, Power Platform, and Dynamics 365 — from planning and design through deployment, ALM, and responsible AI governance.
AB-100 exam at a glance
| Exam code | AB-100 |
|---|---|
| Vendor | Microsoft |
| Level | Expert |
| Domains | 3 |
| Published practice questions | 45 |
| Our mock exam | 45 questions in 120 minutes |
| Our practice pass target | 70% |
| Checked against the exam guide | October 27, 2026 |
| Official exam page | Microsoft — AB-100 |
The mock exam length, time limit and pass target are our practice settings, not official exam scores or a guarantee of passing. Check the official AB-100 exam page for the current format, price and scoring before you book.
AB-100 exam domains
Weights show our practice allocation, built from the official exam guide; official blueprints may give ranges. Each domain links to its free sample questions (with explanations) and study guide preview once they are published.
Plan AI-powered business solutions
27%Analyze requirements for AI-powered business solutions, design the overall AI strategy, and evaluate the costs and benefits of proposed solutions.
- Assessing agent use in task automation, data analytics, and decision-making
- Reviewing data for grounding: accuracy, relevance, timeliness, cleanliness, availability
- Organizing business solution data to be available for other AI systems
- Applying the AI adoption process from the Cloud Adoption Framework for Azure
- Designing a multi-agent solution using Microsoft 365 Copilot, Copilot Studio, and Microsoft Foundry
- Developing use cases for prebuilt agents; defining solution rules and constraints
- Determining generative AI and knowledge source use in Copilot Studio agents
- Determining when to build custom agents vs extend Microsoft 365 Copilot
- Determining when custom AI models should be created; prompt library guidelines
- Developing use cases for customized small language models
- Elements of the Microsoft AI Center of Excellence
- Designing AI solutions spanning multiple Dynamics 365 apps
- Selecting ROI criteria including total cost of ownership; building an ROI analysis
- Analyzing build vs buy vs extend decisions for AI components
- Implementing a model router to route requests to the most suitable model
Free Plan AI-powered business solutions practice questions →Plan AI-powered business solutions study guide →
Design AI-powered business solutions
27%Design AI and agents for business solutions across Dynamics 365 and Copilot Studio, design extensibility of AI solutions, and orchestrate configuration for prebuilt agents and apps.
- Designing Copilot customizations and connectors for Dynamics 365 apps
- Designing agents for Dynamics 365 Contact Center channel integration
- Designing task agents, autonomous agents, and prompt-and-response agents
- Proposing Foundry Tools for a given requirement
- Proposing code-first generative pages and agent feeds for apps
- Designing topics for Copilot Studio, including fallback handling
- Designing data processing for AI models and grounding
- Applying the Microsoft Power Platform Well-Architected Framework to intelligent workloads
- Choosing standard NLP vs conversational language understanding vs generative AI orchestration
- Designing agents and agent flows with Copilot Studio; designing prompt actions
- Designing AI solutions using custom models in Microsoft Foundry
- Designing agents in Microsoft 365 Copilot; agent extensibility in Copilot Studio
- Designing agent extensibility with Model Context Protocol (MCP) in Copilot Studio
- Designing agents to automate tasks via Computer Use in Copilot Studio
- Designing agent behaviors including reasoning and voice mode
- Optimizing solution design with agents in Microsoft 365 (Teams, SharePoint)
- Orchestrating AI features in Dynamics 365 finance/supply chain and CX/service apps
- Proposing Microsoft 365 agents for business scenarios
- Orchestrating Microsoft 365 Copilot for Sales and for Service configuration
- Proposing Power Platform AI features, including AI hub
Free Design AI-powered business solutions practice questions →Design AI-powered business solutions study guide →
Deploy AI-powered business solutions
46%Analyze, monitor, and tune deployed AI solutions, manage testing, design the ALM process, and design responsible AI, security, governance, and compliance.
- Recommending processes and tools for monitoring agents
- Analyzing backlog and user feedback of AI and agent usage
- Applying AI-based tools to analyze issues and perform tuning
- Monitoring agent performance and metrics; interpreting telemetry data
- Recommending processes and metrics to test agents
- Creating validation criteria for custom AI models
- Validating effective Copilot prompt best practices
- Designing end-to-end test scenarios across multiple Dynamics 365 apps
- Building a strategy for creating test cases using Copilot
- Designing the ALM process for AI model/agent data
- Designing the ALM process for Copilot Studio agents, connectors, and actions
- Designing the ALM process for Microsoft Foundry Agents service
- Designing the ALM process for custom AI models and for Dynamics 365 AI features
- Designing security and governance for agents; designing model security
- Analyzing solution and AI vulnerabilities, including prompt manipulation, and mitigations
- Reviewing solutions for adherence to Responsible AI principles
- Validating data residency and movement compliance
- Designing access controls on grounding data and model tuning
- Designing audit trails for changes to models and data
Free Deploy AI-powered business solutions practice questions →Deploy AI-powered business solutions study guide →
AB-100 FAQ
How is the Agentic AI Business Solutions Architect (AB-100) practice assessment configured?
Our practice format targets 45 questions in 120 minutes. Availability depends on the published question bank and is shown on this course page. Official exam question counts and formats may differ.
What does the 70% practice target mean?
Microsoft technical exams use a scaled passing score of 700; this is not equivalent to 70% correct. DataCertPrep uses 70% as an internal practice target, not a prediction or guarantee of passing.
How should I assess my progress in Agentic AI Business Solutions Architect (AB-100)?
Use practice accuracy to find weak topics. Repeating familiar questions can inflate your score. Check coverage of the current objectives, practise hands-on tasks, and assess yourself on unseen questions.
What is the best way to study Agentic AI Business Solutions Architect (AB-100)?
Read the available guides, work through practice explanations, use flashcards and complete practical exercises. Take a timed assessment when available. Check the provider's current exam guide before booking your exam.
Should I use AB-100 exam dumps?
No. "Dumps" are questions copied or recalled from the live exam. Certification exams are covered by a candidate agreement that prohibits sharing or using them, and breaking it can lead to a revoked certification or a ban from future exams. Dumps are also often wrong, and they go out of date when the exam blueprint changes. Memorising answers does not build the skills the exam tests. Study the official Microsoft exam guide and practise with original questions that explain each answer, such as the free sample questions linked on this page.