Prepare for the Microsoft AB-100 Agentic AI Business Solutions Architect certification with a complete practice-testing experience built around realistic enterprise AI challenges, architecture decisions and the practical judgement required to design secure, governed and scalable agentic solutions.
This Harbourmetric course includes five complete practice tests, Sets A–E, plus one Final Mastery Test. Each assessment progressively strengthens your technical and architectural knowledge, reveals weaker areas and prepares you for the scenario-driven, exhibit-based and decision-focused questions found in the official AB-100 exam.
What’s Included
- 5 complete AB-100 practice tests — Sets A to E
- 1 expert-level Final Mastery Test
- Realistic Microsoft-style questions and enterprise AI scenarios
- End-to-end agentic AI architecture case studies
- Coverage across the complete AB-100 curriculum
- Questions covering orchestration, grounding, tools, connectors and retrieval-augmented generation
- Microsoft Entra ID, data access, governance and security scenarios
- Human oversight, evaluation, monitoring and operational readiness questions
- Detailed explanations for every correct answer
- Clear feedback explaining why every alternative is incorrect
- Performance tracking across every attempt
- A course leaderboard to compare your progress
- Unlimited opportunities to practise, improve and master each assessment
A Progressive Path to AB-100 Mastery
Practice Test A — Agent Foundations and Architecture
Begin with a comprehensive assessment covering the foundational concepts required to design agentic AI business solutions.
This test establishes your understanding of agent behaviour, orchestration patterns, tool use, grounding, retrieval and the security and governance controls required to deploy AI responsibly.
You will work through questions involving:
- Agentic AI concepts and solution patterns
- Agent instructions, goals and boundaries
- Tool and connector selection
- Orchestration and workflow design
- Grounding and retrieval-augmented generation
- Enterprise data access
- Security boundaries and permissions
- Responsible AI and safe-by-design principles
- Governance and compliance fundamentals
- Appropriate human oversight
Practice Test A helps establish your baseline knowledge and identifies the areas that require further revision before progressing to more complex architecture scenarios.
Practice Tests B–D — End-to-End Agentic AI Case Studies
Progress through complete exams featuring realistic case studies based on organisational requirements, existing Microsoft environments, security constraints and AI adoption goals.
You will be required to evaluate business processes, identify suitable agent capabilities and recommend solutions that balance usability, security, accuracy, governance and operational maintainability.
Key areas include:
- Designing agentic business solution architectures
- Selecting tools, connectors and integration patterns
- Configuring data access and authorisation
- Applying Microsoft Entra ID identities and permissions
- Designing grounding and retrieval strategies
- Improving retrieval quality and relevance
- Reducing hallucinations and unsupported responses
- Protecting sensitive organisational information
- Implementing human-in-the-loop approvals
- Designing escalation and exception workflows
- Evaluating agent quality, safety and performance
- Monitoring production agents
- Planning enterprise deployment and adoption
- Supporting ongoing operations and improvement
These assessments are designed to test your ability to connect multiple agentic AI concepts rather than answer isolated feature questions.
Practice Test E — Advanced Agentic Architecture Challenges
Take on high-difficulty scenarios that require you to evaluate technical limitations, compare competing approaches and select the architecture that best satisfies the organisation’s requirements.
You may need to make decisions involving:
- Security versus user experience
- Data access versus information protection
- Grounding quality versus response latency
- Accuracy versus cost and performance
- Prompt injection and grounding risks
- Sensitive data exposure
- Connector and tool permissions
- Multi-agent orchestration
- Human oversight and escalation
- Compliance and auditability
- Scaling agents across business units
- Operating agentic solutions in production
This test strengthens your ability to identify architectural trade-offs and make business-focused decisions under realistic enterprise constraints.
Final Mastery Test — Complete AB-100 Simulation
Complete your preparation with a demanding Final Mastery Test covering the entire AB-100 curriculum.
This capstone assessment combines exhibit-based questions, multi-step scenarios and complex organisational requirements across agent design, orchestration, grounding, data access, security, governance, evaluation and production operations.
You may need to interpret architecture diagrams, identity configurations, data-access requirements, grounding results, evaluation metrics, workflow designs and governance policies before selecting the most appropriate solution.
The Final Mastery Test is intentionally challenging, helping ensure that the official exam feels familiar and manageable.
Learn From Every Architecture Decision
Every question includes detailed feedback designed to build practical agentic AI architecture judgement—not simply reveal the correct response.
You will learn:
- Why the correct approach is the best solution
- Why each alternative fails to meet the requirements
- Which business, security or technical constraint determines the answer
- How similar agentic architecture options differ
- How permissions and data boundaries affect agent behaviour
- How grounding choices affect accuracy and reliability
- How design decisions influence security, cost and performance
- How to recognise important clues within Microsoft-style scenarios
- How to avoid common mistakes and misleading answer choices
This explanation-first approach helps you understand how agentic AI solutions operate as complete enterprise systems instead of memorising individual features.
Track Your Progress and Climb the Leaderboard
Monitor your scores, repeat assessments and compare your performance using the Harbourmetric leaderboard.
Use each attempt to identify weaker domains, review the detailed explanations and improve your ability to solve realistic agentic AI architecture challenges.
Achieving 80% or higher consistently across all six assessments is a strong indication that you understand the AB-100 curriculum and are ready to schedule the official certification exam.
Build Practical Agentic AI Architecture Skills
By completing this course, you will strengthen your ability to:
- Translate business requirements into agentic AI solutions
- Design secure and scalable agent architectures
- Select appropriate tools, connectors and orchestration patterns
- Implement effective grounding and retrieval strategies
- Control organisational data access using Microsoft Entra ID
- Reduce hallucination, oversharing and prompt-related risks
- Design human approval and escalation workflows
- Apply governance, compliance and responsible AI controls
- Evaluate agent quality, safety and effectiveness
- Monitor and operate agentic solutions in production
- Balance security, usability, performance and cost
- Support enterprise-wide agentic AI adoption
The knowledge developed throughout this course supports both certification success and real-world Agentic AI Business Solutions Architect responsibilities.
Prepare with realistic enterprise AI scenarios, learn from every answer and build the confidence required to pass the AB-100 exam.