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Microsoft AB-100 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Plan AI-powered business solutions25โ€“30%- Evaluate costs and benefits
  • 1. Design model routing strategies
  • 2. Perform ROI analysis for proposed solutions
  • 3. Define ROI and total cost of ownership criteria
- 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
- Design overall AI strategy
  • 1. Determine build vs buy vs extend decisions
  • 2. Apply Cloud Adoption Framework for AI
  • 3. Establish responsible AI and governance guidelines
  • 4. Define architecture strategy for AI and agents
  • 5. Design multi-agent solutions using Microsoft 365, Copilot Studio, Azure AI Foundry
Topic 2: Deploy AI-powered business solutions40โ€“45%- 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
- Monitor, analyze, and tune solutions
  • 1. Analyze usage, feedback, and performance metrics
  • 2. Design monitoring and telemetry strategies
  • 3. Optimize agent behavior and reliability
- Implement security, governance, compliance
  • 1. Secure models, data, and workflows
  • 2. Audit trails and vulnerability management
  • 3. Adhere to responsible AI principles
  • 4. Enforce data residency and access controls
- Design ALM processes
  • 1. ALM for agents, models, data, and configurations
  • 2. Version control and release management
Topic 3: Design AI-powered business solutions25โ€“30%- Orchestrate configuration
  • 1. Design knowledge source integration
  • 2. Set up Microsoft 365 Copilot for Sales and Service
  • 3. Configure AI features across Dynamics 365 workloads
- Design AI and agents
  • 1. Design topics, flows, and actions in Copilot Studio
  • 2. Customize Copilot for Dynamics 365 applications
  • 3. Build task, autonomous, and prompt-response agents
  • 4. Integrate Azure AI services and OpenAI models
- 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

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Microsoft Agentic AI Business Solutions Architect Sample Questions (Q52-Q57):

NEW QUESTION # 52
A manufacturing company wants to deploy an agent that will automate supplier invoice processing.
You are designing a solution to evaluate the financial implications of the deployment. The company is especially concerned about budget overruns.
You need to ensure that the solution considers the total cost of ownership (TCO), the expected savings from using automation, and whether to extend the existing Al capabilities.
What should you include in the design?

Answer: C


NEW QUESTION # 53
Which Copilot Studio analytics metrics should you recommend to assist the executives with their specific responsibilities? To answer, drag the appropriate metrics to the correct executives. Each metric may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
CFO concerns about Copilot Studio credit usage # Effectiveness
CTO concerns about poor feedback on AI agent responses # Satisfaction
Comprehensive and Detailed Explanation from Agentic AI Topics:
The correct mapping is based on what each executive is trying to measure in Copilot Studio analytics.
For the CFO, the concern is about abandoned interactions compared to resolved conversations and whether Copilot Studio credits are being used efficiently. That aligns with Effectiveness, because effectiveness metrics focus on conversation outcomes such as whether interactions are successfully resolved or dropped before completion.
For the CTO, the concern is specifically about user feedback on the quality of AI agent responses. That maps to Satisfaction, because satisfaction metrics capture user sentiment and feedback about the interaction quality.
Why the other metrics are not the best fit:
Use is more about adoption and interaction volume.
Tool use focuses on how often tools/actions are invoked, not on abandonment versus resolution or feedback quality.


NEW QUESTION # 54
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: B


NEW QUESTION # 55
A company has an Azure environment that supports multiple business units.
The company plans to implement an Al solution that will perform sentiment analysis on customer product reviews. You need to evaluate the potential cost of the solution to support return on Al investment (ROAI) analysis. What should you use?

Answer: D

Explanation:
The requirement is to evaluate the potential cost of an AI solution before deployment so the company can support a return on AI investment (ROAI) analysis .
The correct choice is C. Azure pricing calculator .
Why C is correct:
The Azure pricing calculator is used to estimate the expected cost of Azure services before implementation.
For an AI solution such as sentiment analysis on customer product reviews , it helps estimate likely spending across the relevant Azure components and usage patterns. That makes it the right tool for cost forecasting as part of ROAI planning.
Why the other options are not correct:
* A. Total Cost of Ownership (TCO) Calculator TCO is mainly used to compare broader infrastructure costs, often for migration or environment-level cost comparisons, not detailed service pricing estimation for a planned Azure AI solution.
* B. Azure Reservations Reservations are a purchasing/discount mechanism, not the primary tool for estimating potential solution cost.
* D. Azure Monitor Azure Monitor tracks operational metrics and runtime health after deployment; it is not used for pre-deployment cost estimation.


NEW QUESTION # 56
A company has two Microsoft Power Platform environments named Devi and Prodi. A Microsoft Copilot Studio agent named Agent1 is built into a solution in the Devi environment.
You plan to deploy Agent1 to Prodi.
You need to make Agent1 available to the users in Prodi. The solution must minimize administrative effort.
What should you do?

Answer: D

Explanation:
Because Agent1 is built into a solution in the Dev1 environment and must be deployed to Prod1 with minimal administrative effort, the recommended ALM approach is to export the solution as a managed solution and import it into production.
Why A is correct:
Managed solutions are the standard choice for production deployment
They support cleaner governance and controlled changes in the target environment They minimize manual recreation and reduce admin overhead compared with rebuilding the agent


NEW QUESTION # 57
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