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Microsoft AB-100 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Plan AI-powered business solutions: Focuses on analyzing business requirements and identifying where AI agents and generative AI can improve processes. It also includes defining AI strategy, evaluating ROI, and deciding whether to build, buy, or extend AI components.
Topic 2
  • Deploy AI-powered business solutions: Focuses on deploying, testing, monitoring, and optimizing AI solutions in production. It also includes managing ALM processes, performance monitoring, and ensuring security, governance, and responsible AI compliance.
Topic 3
  • Design AI-powered business solutions: Covers designing AI agents, Copilot integrations, and intelligent workflows using platforms like Copilot Studio, Microsoft Foundry, and Dynamics 365. It includes planning prompts, connectors, agent behaviors, and solution extensibility.

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Microsoft Agentic AI Business Solutions Architect Sample Questions (Q94-Q99):

NEW QUESTION # 94
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives.
You need to recommend a testing solution that meets the following requirements:
- Evaluates agent effectiveness during active sessions
- Validates whether the agent delivers accurate and helpful responses
- Provides measurable, actionable insights for continuous improvement
What should you recommend?

Answer: B

Explanation:
To establish a testing and evaluation setup for your Microsoft Copilot Studio agent within Dynamics 365 Customer Service, you should leverage specialized AI-driven evaluation agents and integrated analytics dashboards.
1. Evaluate Effectiveness and Accuracy
Use the Quality Evaluation Agent in Dynamics 365 to automate the assessment of agent performance during and after active sessions.
2. Track Measurable Insights with Dashboards
Utilize the built-in and customizable dashboards to monitor key performance indicators (KPIs) like resolution and deflection.
3. Ensure Consistency with Agent Scripts
To maintain uniform and company-endorsed communication, implement Agent Scripts within the Customer Service Admin center.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/manage-quality- evaluation-agent


NEW QUESTION # 95
You need to recommend a security solution for agents in a Microsoft Power Platform environment.
The agents must use only approved connectors and services. The solution must prevent the agents from accessing sensitive data. What should you recommend?

Answer: C

Explanation:
The requirement is to secure agents in a Microsoft Power Platform environment so that they:
* use only approved connectors and services
* are prevented from accessing sensitive data
The correct recommendation is B. Deploy data loss prevention (DLP) policies in Power Platform.
Why B is correct:
DLP policies in Power Platform are specifically designed to control which connectors can be used together and which services are allowed in an environment. They help administrators classify connectors as business or non-business and restrict unsafe data flows. This directly supports both requirements:
* limiting agents to approved connectors/services
* preventing data from being exposed through unapproved or risky connector usage Why the other options are not correct:
* A. Enable customer-managed keys in Microsoft Dataverse This helps with encryption control, not with restricting connector usage or preventing data movement through agents.
* C. Configure Azure Monitor to capture connector activity logs Monitoring logs is useful for visibility, but it does not enforce connector restrictions or prevent sensitive data access.
* D. Enable a Microsoft Dataverse audit Auditing records activity after the fact. It does not proactively block unapproved connectors or sensitive data exposure.


NEW QUESTION # 96
A company has a Microsoft Foundry generative Al model.
You need to evaluate the model ' s output to measure the overall quality and coherence of generated responses. The evaluation must use GPT-4o as a judge and return a numeric score for each output.
Which type of metric should you use?

Answer: A


NEW QUESTION # 97
A company processes invoices stored across multiple systems in multiple formats.
You need to implement an Al solution to automate the invoice processing. The solution must meet the following requirements:
* Automate multi-step invoice processing tasks, including document analysis, data validation, and approval routing.
* Enable users to interact directly via Microsoft Teams to review and approve invoices.
* Minimize development efforts to define and customize approval workflows.
What should you include in the solution?

Answer: C

Explanation:
This scenario requires an AI solution for invoice processing across multiple systems and formats , while also allowing direct user interaction in Microsoft Teams and keeping workflow customization effort low.
The best option is Microsoft Copilot Studio and AI Builder .
Why this is correct:
* AI Builder can be used for document-focused automation tasks such as extracting data from invoices and supporting structured business document processing.
* Microsoft Copilot Studio can provide the conversational and workflow-driven layer, including interaction through Microsoft Teams .
* Together, they support multi-step automation , including:
* document analysis
* extracted data handling
* validation steps
* routing for human review and approval
* This combination also aligns with the requirement to minimize development effort , because Copilot Studio and AI Builder are low-code tools designed for rapid business solution delivery.
Why the other options are less suitable:
* A. Azure Document Intelligence in Foundry Tools and Azure Logic Apps This can handle extraction and workflow automation, but it usually requires more implementation effort and does not as naturally satisfy the Teams-centric low-code user interaction requirement as Copilot Studio does.
* C. Azure OpenAI and Azure Functions This is far more custom-development-heavy and does not meet the goal of minimizing workflow customization effort.
* D. a SharePoint agent A SharePoint agent is too narrow for this broader multi-system invoice processing and approval workflow scenario.


NEW QUESTION # 98
A company has a portfolio of AI initiatives at different stages of development.
You need to recommend a structured approach to evaluating the return on AI investment (ROAI) across all the initiatives. The solution must balance immediate results with long-term values and strategic innovations.
What should you include in the recommendation?

Answer: B

Explanation:
In this scenario, a horizon-based framework is best for evaluating the return on AI investment (ROAI). While a prioritization grid is excellent for immediate tactical choices (e.g., effort vs.
impact), a horizon-based framework is specifically designed to balance diverse timeframes- mapping immediate efficiency gains alongside the long-term strategic and transformational value required for a comprehensive Microsoft AI portfolio.
Why the Horizon-Based Framework Wins
This approach categorizes AI initiatives into three distinct "horizons," allowing you to measure different types of value across the development lifecycle:
Horizon 1: Core Operations (Immediate ROI)
Focuses on extending current capabilities for rapid results, such as using Microsoft Copilot to automate routine coding tasks or IT support.
Horizon 2: Adjacent Opportunities (Mid-Term Value)
Targets growth by expanding into new areas related to your core, such as developing agentic platforms or AI-driven specialized tools that build on existing infrastructure.
Horizon 3: Transformational Innovation (Long-Term Strategy)
Invests in "future-forward" innovations that may have uncertain immediate returns but offer massive strategic upside or business model reimagination.
Recommendation: Use the Microsoft AI Maturity Model to baseline your current state, then apply the Horizon-Based Framework to structure your ROAI evaluation. This ensures you don't starve long-term innovation in favor of only "low-hanging fruit" efficiency projects.
Reference:
https://businessengineer.ai/p/microsofts-three-horizon-ai-architecture


NEW QUESTION # 99
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