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Microsoft AB-100 Exam Syllabus Topics:

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

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Microsoft Agentic AI Business Solutions Architect Sample Questions (Q100-Q105):

NEW QUESTION # 100
A company has a Microsoft Power Platform environment that contains Microsoft Dataverse data. You create a Microsoft Copilot Studio agent named Agent1 that processes the Dataverse data. You discover that Agent1 fails to return relevant or accurate results. You need to improve the quality and reliability of data grounding.
What should you do?

Answer: D

Explanation:
If a Copilot Studio agent that uses Dataverse is returning poor or irrelevant results, the most likely issue is weak or inconsistent grounding data.
The best corrective action is C. Verify and cleanse the Dataverse data.
Why C is correct:
Grounded AI quality depends heavily on source data quality
Incomplete, inconsistent, duplicated, outdated, or badly structured Dataverse records will lead to poor answers Cleansing and validating the data improves both relevance and reliability without requiring unnecessary model changes Why the other options are not correct:
A). Use an adaptive card in Agent1Adaptive cards improve UI interaction, not grounding quality.
B). Add example user inputs to the training data of Agent1This may help intent handling, but the issue here is inaccurate grounding from Dataverse.
D). Retrain Agent1Copilot Studio grounding problems are usually solved by improving source data, not retraining the agent.


NEW QUESTION # 101
A company has a Microsoft Dynamics 365 Sales environment that has Microsoft Copilot enabled.
You need to customize Copilot by tailoring how opportunity summaries are generated o ' how they are presented to users Solution: You add fields to the opportunity summary.
Dues this meet the goal?

Answer: B

Explanation:
Adding fields to the opportunity summary does meet the requirement . Dynamics 365 Sales allows administrators to configure the fields Copilot uses when generating summaries for opportunities and other sales records. Microsoft explicitly directs administrators to configure fields for generating summaries and recent changes as part of Copilot configuration.
Microsoft also explains that although Copilot starts with predefined fields, organizations can add fields that are more relevant to their sales processes. Those selected fields become part of the information supplied to Copilot when generating the opportunity summary.
Therefore, modifying the fields directly changes the information included in the generated opportunity summary and qualifies as customization.


NEW QUESTION # 102
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?

Answer: D


NEW QUESTION # 103
Hotspot Question
A company deploys agents that generate responses by using Azure OpenAI resources. The agents are deployed to both the United States and Europe.
You need to recommend a governance solution that meets the following requirements:
- Enforces the deployment of the resources to only approved Azure
regions
- Provides continuous compliance verification of the resources
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.

Answer:

Explanation:

Explanation:
Box 1: Azure Policy
Enforces the deployment of the resources to only approved Azure regions To enforce the deployment of Azure OpenAI resources to only approved Azure regions (e.g., specific regions in Europe and the USA), you should use Azure Policy with the "Allowed locations" policy definition.
Here is the breakdown of how to implement this control:
Primary Tool: Azure Policy
Azure Policy allows you to define rules that restrict where resources can be created.
Policy Rule: Use the Allowed locations policy definition.
Implementation: Assign this policy at the Subscription or Resource Group level to restrict developers to only using permitted regions (e.g., East US, West Europe).
Effect: If a user attempts to deploy an Azure OpenAI resource in a non-approved region, the deployment will be blocked.
Box 2: Microsoft Purview
Provides continuous compliance verification of the resources
To provide continuous compliance verification for Azure OpenAI resources across Europe and the USA, you should use Microsoft Purview Compliance Manager and Azure Policy.
Microsoft Purview Compliance Manager: This tool provides a risk-based compliance score and continuous monitoring against global regulations such as the EU AI Act, GDPR, and various US standards. It offers specific regulatory templates to help you assess and implement controls for generative AI applications.
Azure Policy: Use this to enforce organizational standards and assess compliance at scale. You can apply built-in policy definitions for Azure AI services to automatically audit or deny non- compliant resource configurations, such as ensuring resources are restricted to specific regions (e.g., only EU or USA) or have private network access enabled.
Reference:
https://learn.microsoft.com/en-us/azure/ai-foundry/foundry-models/concepts/deployment-types
https://learn.microsoft.com/en-us/purview/ai-agent-365


NEW QUESTION # 104
A company uses Microsoft Dynamics 365 Finance for accounts payable and customer debt recovery. You are designing an Al finance process that meets the following requirements:
Provides Al-driven details to help staff identify overdue vendor invoices and outstanding balances Helps staff reduce how long it takes to review overdue invoices and payment history You need to recommend which Microsoft Copilot features to include in the design.
What should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Vendor overdue invoices and outstanding balances # AI Summaries with Copilot Review overdue invoices and payment history faster # Collections coordinator summary This question combines two different finance-process needs inside Dynamics 365 Finance:
The first requirement is in the accounts payable / vendor context. Staff need AI-driven details to quickly understand overdue vendor invoices and outstanding balances. The best fit is AI Summaries with Copilot, because this feature is intended to surface concise, contextual summaries that help users understand finance records faster without manually opening and reviewing every transaction.
The second requirement is in the customer debt recovery / collections context. Staff need to reduce the time spent reviewing overdue invoices and payment history. The best match here is Collections coordinator summary, because it is specifically aligned to collections work and helps users quickly review the customer's collections status, invoice aging, and payment-related context.
Why the other options are less suitable:
Agent management is administrative and not the feature that provides invoice/balance insights.
The Account Reconciliation agent is more focused on reconciliation tasks than on these specific AP and collections-review needs.
The supplier Communication agent is oriented toward supplier interaction/communication, not primarily summarizing overdue invoice and balance insight for internal review.
Analyze demand plans with Copilot is unrelated to overdue invoices or payment-history review.


NEW QUESTION # 105
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