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Microsoft AB-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Design AI-powered business solutions25โ€“30%- Design AI and agents
  • 1. Design topics, flows, and actions in Copilot Studio
  • 2. Integrate Azure AI services and OpenAI models
  • 3. Customize Copilot for Dynamics 365 applications
  • 4. Build task, autonomous, and prompt-response agents
- Orchestrate configuration
  • 1. Set up Microsoft 365 Copilot for Sales and Service
  • 2. Configure AI features across Dynamics 365 workloads
  • 3. Design knowledge source integration
- Design extensibility and integration
  • 1. Integrate with Microsoft 365, Teams, and SharePoint
  • 2. Extend agents via Model Context Protocol and open standards
  • 3. Apply Power Platform Well-Architected Framework
Topic 2: Deploy AI-powered business solutions40โ€“45%- Manage testing and validation
  • 1. Design end-to-end test scenarios
  • 2. Define test criteria for agents and models
  • 3. Validate prompt engineering best practices
- Implement security, governance, compliance
  • 1. Secure models, data, and workflows
  • 2. Enforce data residency and access controls
  • 3. Audit trails and vulnerability management
  • 4. Adhere to responsible AI principles
- Design ALM processes
  • 1. Version control and release management
  • 2. ALM for agents, models, data, and configurations
- Monitor, analyze, and tune solutions
  • 1. Analyze usage, feedback, and performance metrics
  • 2. Design monitoring and telemetry strategies
  • 3. Optimize agent behavior and reliability
Topic 3: Plan AI-powered business solutions25โ€“30%- Evaluate costs and benefits
  • 1. Design model routing strategies
  • 2. Define ROI and total cost of ownership criteria
  • 3. Perform ROI analysis for proposed solutions
- Design overall AI strategy
  • 1. Determine build vs buy vs extend decisions
  • 2. Apply Cloud Adoption Framework for AI
  • 3. Define architecture strategy for AI and agents
  • 4. Establish responsible AI and governance guidelines
  • 5. Design multi-agent solutions using Microsoft 365, Copilot Studio, Azure AI Foundry
- Analyze requirements for AI-powered business solutions
  • 1. Organize data for reuse across AI systems
  • 2. Assess agent use in automation, analytics, and decision-making
  • 3. Evaluate data quality, relevance, and availability for grounding

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Microsoft Agentic AI Business Solutions Architect Sample Questions (Q12-Q17):

NEW QUESTION # 12
Hotspot Question
You are designing a testing solution for Microsoft Copilot Studio agents.
You need to validate prompt engineering best practices to ensure that the agents generate accurate and contextually relevant responses. Which prompt validation techniques and metrics should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 13
A company has a customer order system that creates sales orders manually.
You need to design an Ai solution to automate the following tasks as part of the system:
* Save the order details to a database.
* Update the order status m the database.
* Extract the order details from an order file
* Prepare and send a confirmation email to customers.
The solution must minimize development effort and support intelligent automation and solution integration.
What should you include m the design?

Answer: B


NEW QUESTION # 14
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.

Answer:

Explanation:

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.


NEW QUESTION # 15
A company has a Microsoft 365 tenant in Canada and multiple Microsoft Power Platform environments in Canada and the United States. The company plans to deploy a Microsoft Copilot Studio agent to the Canadian environment that will use:
- Microsoft Dataverse data stored in Canada
- A connector that connects to an Azure OpenAI instance in the United
States
You need to ensure that the agent adheres to data residency and data movement policies before being deployed. What should you do?

Answer: B

Explanation:
The key issue is that the agent will run in a Canadian environment and use:
Dataverse data stored in Canada
a connector to Azure OpenAI in the United States
That means data may need to move across regions. Before deployment, the organization must make sure this cross-region use is explicitly allowed under the platform's data movement and residency controls.
That makes C the correct answer.
Why C is correct:
It directly addresses the fact that the solution uses services in different geographic regions It ensures the environment and its connector dependencies are configured to allow that movement in line with platform policy It is the most specific action tied to data residency and data movement compliance before deployment


NEW QUESTION # 16
Hotspot Question
You are designing a testing solution for Microsoft Copilot Studio agents.
You need to validate prompt engineering best practices to ensure that the agents generate accurate and contextually relevant responses.
Which prompt validation techniques and metrics should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 17
......

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