AB-100 Practice Tests

Microsoft Agentic AI Business Solutions Architect

Prepare for Microsoft AB-100 with practice questions grounded in the Microsoft Learn study guide. Cover planning, designing, deploying, monitoring, testing, ALM, governance, and responsible AI for agentic business solutions.

Start Free Practice Test View Pricing Plans

Duration

Varies by exam appointment

Questions

Microsoft exam item count varies

Cost

Varies by region

Where to register

Microsoft

Issued by Microsoft. Delivered via Pearson VUE or online proctored exam. Microsoft positions this for AI-first solution architects leading agentic business solution implementation.

01·Overview

Certification overview

The format, prerequisites, and what to expect on exam day.

Exam details

Exam Code
AB-100
Duration
Varies by exam appointment
Questions
Microsoft exam item count varies
Format
Multiple choice and scenario-based items
Passing Score
700/1000
Cost
Varies by region
Validity
1 year renewal cycle for role-based certifications

Prerequisites

Experience translating business requirements into AI-powered solution architecture
Knowledge of Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Dynamics 365, and Power Platform
Understanding of ALM, environment strategy, security, compliance, and governance for AI solutions
Ability to evaluate ROI, total cost of ownership, build/buy/extend choices, and model routing

02·Domains

Exam domains

Topics on the official blueprint, with their relative weight.

Plan AI-powered business solutions

25-30%

Analyze requirements for AI-powered solutions
Review data for grounding quality
Design overall AI strategy
Evaluate costs, benefits, ROI, and TCO

Design AI-powered business solutions

25-30%

Design AI and agents for business solutions
Use Copilot Studio and Microsoft Foundry
Apply MCP and Agent2Agent concepts
Design task, autonomous, and prompt-response agents

Deploy AI-powered business solutions

40-45%

Analyze, monitor, and tune AI solutions
Manage testing strategies
Design ALM for agents, models, and data
Design responsible AI, security, governance, and compliance

03·Key topics

What you actually study

Service families and concept clusters that show up across questions.

Microsoft AI Platforms

Microsoft 365 Copilot
Copilot Studio
Microsoft Foundry
Dynamics 365 Copilot
Power Platform

Agent Architecture

Task agents
autonomous agents
prompt and response agents
multi-agent orchestration
model routing

Deployment and ALM

Telemetry
testing strategy
environment strategy
agent lifecycle management
custom model lifecycle

Governance

Responsible AI
prompt manipulation defense
data residency
audit trails
security and compliance

04·Study tips

How to actually pass it

Practical strategies for the weeks before, and the morning of.

Preparation strategy

Study the Microsoft Learn skills outline and turn each bullet into a design scenario.
Practice comparing build, buy, and extend choices across Microsoft 365 Copilot, Copilot Studio, Microsoft Foundry, Dynamics 365, and Power Platform.
Review ALM and environment strategy for agents, data, connectors, actions, and custom AI models.
Drill governance scenarios involving telemetry, testing, data residency, prompt manipulation, and audit trails.

Exam day

Start by deciding whether the question is asking you to plan, design, or deploy.
Choose answers that satisfy business value, governance, and lifecycle requirements together.
Look for grounding quality, data readiness, and monitoring requirements in agent scenarios.
Eliminate answers that ignore ALM, compliance, security, or responsible AI constraints.

Design agentic AI business solutions with confidence.

Practice Microsoft AB-100 planning, design, deployment, and governance scenarios. Start free, no card required.

Start Free Practice Test View Plans