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Microsoft AB-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Deploy AI-powered business solutions40–45%- Monitor, analyze, and tune solutions
  • 1. Design monitoring and telemetry strategies
  • 2. Optimize agent behavior and reliability
  • 3. Analyze usage, feedback, and performance metrics
- Manage testing and validation
  • 1. Design end-to-end test scenarios
  • 2. Validate prompt engineering best practices
  • 3. Define test criteria for agents and models
- Implement security, governance, compliance
  • 1. Audit trails and vulnerability management
  • 2. Enforce data residency and access controls
  • 3. Secure models, data, and workflows
  • 4. Adhere to responsible AI principles
- Design ALM processes
  • 1. Version control and release management
  • 2. ALM for agents, models, data, and configurations
Topic 2: Plan AI-powered business solutions25–30%- Analyze requirements for AI-powered business solutions
  • 1. Assess agent use in automation, analytics, and decision-making
  • 2. Evaluate data quality, relevance, and availability for grounding
  • 3. Organize data for reuse across AI systems
- Evaluate costs and benefits
  • 1. Define ROI and total cost of ownership criteria
  • 2. Perform ROI analysis for proposed solutions
  • 3. Design model routing strategies
- Design overall AI strategy
  • 1. Define architecture strategy for AI and agents
  • 2. Design multi-agent solutions using Microsoft 365, Copilot Studio, Azure AI Foundry
  • 3. Apply Cloud Adoption Framework for AI
  • 4. Determine build vs buy vs extend decisions
  • 5. Establish responsible AI and governance guidelines
Topic 3: Design AI-powered business solutions25–30%- Orchestrate configuration
  • 1. Design knowledge source integration
  • 2. Configure AI features across Dynamics 365 workloads
  • 3. Set up Microsoft 365 Copilot for Sales and Service
- Design extensibility and integration
  • 1. Apply Power Platform Well-Architected Framework
  • 2. Extend agents via Model Context Protocol and open standards
  • 3. Integrate with Microsoft 365, Teams, and SharePoint
- Design AI and agents
  • 1. Design topics, flows, and actions in Copilot Studio
  • 2. Integrate Azure AI services and OpenAI models
  • 3. Build task, autonomous, and prompt-response agents
  • 4. Customize Copilot for Dynamics 365 applications

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Microsoft Agentic AI Business Solutions Architect AB-100 Prüfungsfragen mit Lösungen (Q30-Q35):

30. Frage
A company has a Microsoft Copilot Studio agent that has been in production for three months.
The agent has received positive feedback from users.
You need to identify the number of questions unanswered by the agent and the number of abandoned sessions between the users and the agent.
Which Copilot Studio insights should you use? To answer, drag the appropriate insights to the correct requirements. Each insight may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:

Explanation:
The number of unanswered questions # Generated answer rate and quality; The number of abandoned sessions # Conversation outcomes Why "Generated answer rate and quality" is correct The requirement is to identify the number of questions unanswered by the agent. In Copilot Studio, unanswered-question behavior is tied to how often the agent successfully generates answers and the quality of those answers.
The Generated answer rate and quality insight is the right place to evaluate whether the agent is:
answering user questions
failing to generate answers
producing low-quality responses
missing knowledge coverage
From an AI business solutions standpoint, unanswered questions are a direct signal of knowledge gaps, grounding gaps, or prompt-response weaknesses. This is exactly what generated answer analytics are meant to surface.
Why "Conversation outcomes" is correct
The requirement also asks for the number of abandoned sessions between users and the agent.
Abandonment is a conversation-level outcome, not a reaction or survey result. The Conversation outcomes insight tracks what happened to the interaction, such as whether the conversation was:
resolved
escalated
abandoned
otherwise completed unsuccessfully
That makes it the correct metric for identifying abandoned sessions.
Why the other insights are not correct
Reactions
Reactions capture signals like positive or negative user feedback, but they do not directly measure unanswered questions or abandoned sessions.
Survey results
Survey results reflect user satisfaction feedback after interactions, but they do not directly quantify unanswered questions or abandonment counts.


31. Frage
Hotspot Question
You need to recommend a Microsoft Power Platform solution for customer support. The solution must include AI capabilities in Microsoft Power Automate and must meet the following requirements:
Use a centralized workspace for AI models.
Generate short overviews from large amounts of unstructured text, such as case notes or transcripts, without requiring additional training or coding.
What should you include in the recommendation for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Antwort:

Begründung:


32. Frage
A company plans to deploy an AI-based customer service app that will autonomously manage interactions, escalate complex cases, and learn from historical ticket data.
You need to perform a return on AI investment (ROAI) analysis of the app deployment. The solution must ensure that the analysis is accurate.
What should you do first?

Antwort: A


33. Frage
You are designing a low-code AI business solution by using Microsoft Copilot Studio.
The solution must include an agent that automates tasks by simulating user interactions across third-party apps and websites, such as clicking buttons, entering text, and extracting information from screens.
You need to recommend what to include in the agent.
What should you recommend?

Antwort: B

Begründung:
In Microsoft Copilot Studio, you can use the computer use tool (currently in preview) to build low- code agents that automate tasks by simulating human interactions on a Windows computer.
Key Capabilities of Computer Use
UI Interaction: Agents can interact with any system featuring a graphical user interface (GUI), including third-party websites and desktop applications.
*-> Human-like Actions: The tool enables the agent to click buttons, select menus, enter text into fields, and scroll, mimicking a human user.
No API Required: It is particularly useful for automating legacy systems or applications that lack direct API connectors.
Vision-Based Reasoning: Powered by Computer-Using Agents (CUA), the tool uses AI to "see" the screen, allowing it to adapt in real time if button positions or layouts change.
*-> Low-Code Setup: You define what the agent should do using natural language instructions rather than complex coding.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/computer-use


34. Frage
You are designing a Microsoft Copilot Studio agent that will automatically generate sales quotes for a sales team. You need to recommend a low code solution to automate the quote generation process. What should you include in the recommendation?

Antwort: D


35. Frage
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