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| Section | Weight | Objectives |
|---|---|---|
| Plan AI-powered business solutions | 25–30% | - Evaluate costs and benefits
|
| Deploy AI-powered business solutions | 40–45% | - Design ALM processes
|
| Design AI-powered business solutions | 25–30% | - Design AI and agents
|
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44. Frage
Which framework should you use to meet the AI agent requirements for the sales cycle enablement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
For Microsoft Copilot Studio best practices:
# Microsoft Power Platform Well #Architected Framework
Why?
* Copilot Studio is part of the Power Platform.
* Microsoft's official guidance for building scalable, secure, compliant Power Platform solutions is the Power Platform Well #Architected Framework .
* It includes governance, security, reliability, operational excellence, and cost optimization-exactly what Fabrikam needs for AI agent deployment, telemetry, compliance, and ROI.
For conversational user experiences:
# Success by Design
Why?
* Success by Design is Microsoft's methodology for implementing Dynamics 365 and Power Platform solutions.
* It includes conversational design checklists , solution blueprinting, risk assessments, and user #adoption strategies.
* Fabrikam's scenario emphasizes:
* User adoption
* Conversational UX quality
* Escalation paths
* Compliance
* Telemetry
* These are all covered in Success by Design's structured implementation approach.
https://learn.microsoft.com/en-ca/power-platform/well-architected/experience-optimization/conversation-design
Topic 2, Contoso. Ltd
Overview
Contoso. Ltd is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance, Dynamics
365 Supply Chain Management, and Dynamics 365 Commerce for its North American operations. The company designs and develops innovative products that have many patents and proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt Al solutions to help scale the company in preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted Al solutions.
AI Adoption
The following executives will have specific responsibilities in the overall Al adoption:
* Chief Technology Officer (CTO): Select one Dynamics 365 Finance, Dynamics 365 Supply Chain Management, or Dynamics 365 Commerce prebuilt Al agent and one custom Microsoft Copilot Studio Al agent to prioritize and deploy during the initial Al adoption phase.
* Chief Information Officer (CIO): Ensure that appropriate security labels are assigned to the data used by the Al agents
* Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the Al agents being deployed.
* Chief Information Security Officer (CISO): Discover and inventory Al resources for auditing.
* Chief Executive Officer (CEO): Ensure that all solutions adhere to industry-standard responsible Al practices.
All Al initiatives and agents will have a detailed business use case, a defined audience profile, and an estimated ROI that will compare the cost savings of the current process against the estimated costs of using the new Al solutions.
The company ' s research and development (R & D) department already has a custom Model Context Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt Al agent to use in Dynamics 365 Supply Chain Management The CTO wants to view available agent templates to identify which agent will add the most business value.
Depending on which high-priority Al agents are identified, its agent capabilities must be previewed in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom Al agent requirements:
* The custom Al agent will use data from Dynamics 365 Supply Chain Management to answer questions for the manufacturing team as a low-code solution.
* The custom Al agent will be accessible from within Microsoft Teams.
* The custom Al agent must be designed to eventually connect to other agents that can be selected based on their description.
* The topics used in the custom Al agent will be selected based NOT on a trigger phrase, but on a description of the purpose of the query, to make the interactions more conversational
* The custom Al agent must be able to answer questions about product specifications by using existing technologies. The product specifications are maintained by the R & D department.
* The custom Al agent must be integrated with and accessible from Dynamics 365 Supply Chain Management.
* The custom Al agent must be able to use Dynamics 365 Supply Chain Management business logic that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysts, reporting, and troubleshooting requirements:
* The CISO will audit all the Al solutions monthly for compliance and security.
* The CFO will analyze all the Al solutions quarterly to compare the estimated ROI against actual measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to perform this analysis.
* The CISO wants to identify how much sensitive data was accessed for a given Al agent run and who accessed the data. Too much sensitive data accessed by a single user might indicate a high security risk.
* The CTO wants to track user feedback on the quality of the Al agent responses during user interactions with the agents. Consistently poor feedback will trigger an escalated reengineering discussion.
* The CEO wants a quarterly assessment of all the required metrics for their specific responsibilities. The tools used for the assessments must be Microsoft-recommended and must verify reliability, interpretability, fairness, and compliance.
* The CFO wants to identify how many interactions with the Al agents are abandoned on a given day as compared to resolved conversations. Too many abandoned sessions might indicate that Copilot Studio credits are being used inefficiently by end users.
Case study question
45. Frage
A company has an AI solution that uses Azure OpenAI models.
You need to recommend a governance solution that monitors and audits changes to model configurations and data usage. The solution must minimize administrative effort.
What should you include in the recommendation?
Antwort: C
Begründung:
Azure Monitor is the primary service for monitoring and auditing Azure OpenAI model configurations and data usage. By combining Azure Monitor with diagnostic settings, you can track management operations, analyze token consumption, and audit prompt/response data.
Reference:
https://learn.microsoft.com/en-us/azure/azure-monitor/fundamentals/overview
46. Frage
Case Study 2 - Contoso, Ltd
Overview
Contoso, Ltd. is a high-tech manufacturing company that uses Microsoft Dynamics 365 Finance.
Dynamics 365 Supply Chain Management, and Dynamics 365 Commerce for its North American operations. The company designs and develops innovative products that have many patents and proprietary technologies. The patents and engineering designs are closely guarded secrets.
Contoso executives want to integrate and adopt AI solutions to help scale the company in preparation for an anticipated period of rapid growth.
The company has multiple legal entities and Azure subscriptions that will be used in the adopted AI solutions.
Requirements
AI Adoption
The following executives will have specific responsibilities in the overall AI adoption:
- Chief Technology Officer (CTO): Select one Dynamics 365 Finance,
Dynamics 365 Supply Chain Management or Dynamics 365 Commerce prebuilt
AI agent and one custom Microsoft Copilot Studio AI agent to prioritize and deploy during the initial AI adoption phase.
- Chief Information Officer (CIO): Ensure that appropriate security
labels are assigned to the data used by the AI agents.
- Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the AI agents being deployed.
- Chief Information Security Officer (CISO): Discover and inventory AI
resources for auditing.
- Chief Executive Officer (CEO): Ensure that all solutions adhere to
industry-standard responsible AI practices.
All AI initiatives and agents will have a detailed business use case, a defined audience profile, and an estimated ROI that will compare the cost savings of the current process against the estimated costs of using the new AI solutions.
The company's research and development (R&D) department already has a custom Model Context Protocol (MCP) server that contains comprehensive product specifications and compliance data.
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt AI agent to use in Dynamics 365 Supply Chain Management. The CTO wants to view available agent templates to identify which agent will add the most business value.
Depending on which high-priority AI agents are identified, its agent capabilities must be previewed in a discovery meeting with the relevant business operation stakeholders.
Custom AI Agent
Contoso has identified the following custom AI agent requirements:
- The custom AI agent will use data from Dynamics 365 Supply Chain
Management to answer questions for the manufacturing team as a low-code solution.
- The custom AI agent will be accessible from within Microsoft Teams.
- The custom AI agent must be designed to eventually connect to other
agents that can be selected based on their description.
- The topics used in the custom AI agent will be selected based NOT on
a trigger phrase, but on a description of the purpose of the query, to
make the interactions more conversational.
- The custom AI agent must be able to answer questions about product
specifications by using existing technologies. The product
specifications are maintained by the R&D department.
- The custom AI agent must be integrated with and accessible from
Dynamics 365 Supply Chain Management.
- The custom AI agent must be able to use Dynamics 365 Supply Chain
Management business logic that is stored outside of the application.
Analysis, Reporting, and Troubleshooting
Contoso has identified the following analysis, reporting, and troubleshooting requirements:
- The CISO will audit all the AI solutions monthly for compliance and
security.
- The CFO will analyze all the AI solutions quarterly to compare the
estimated ROI against actual measured efficiencies and adoption. The
CFO will use the Copilot Studio agent usage estimator to perform this
analysis.
- The CISO wants to identify how much sensitive data was accessed for a given AI agent run and who accessed the data. Too much sensitive data accessed by a single user might indicate a high security risk.
- The CTO wants to track user feedback on the quality of the AI agent
responses during user interactions with the agents. Consistently poor
feedback will trigger an escalated reengineering discussion.
- The CEO wants a quarterly assessment of all the required metrics for
their specific responsibilities. The tools used for the assessments
must be Microsoft-recommended and must verify reliability,
interpretability, fairness, and compliance.
- The CFO wants to identify how many interactions with the AI agents
are abandoned on a given day as compared to resolved conversations. Too many abandoned sessions might indicate that Copilot Studio credits are being used inefficiently by end users.
Which two components in the custom AI agent design should the CFO evaluate in the quarterly agent analysis? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Antwort: A,D
Begründung:
Scenario:
The CFO will analyze all the AI solutions quarterly to compare the estimated ROI against actual measured efficiencies and adoption. The CFO will use the Copilot Studio agent usage estimator to perform this analysis.
Quarterly Estimated ROI (Forecasting)
Use the Microsoft Agent Usage Estimator to model quarterly expectations before each period.
Orchestration Method Input: Select between Classic (logic-driven) or Generative (AI-driven) orchestration. Generative orchestration typically consumes more credits but reduces manual development time.
Session Time Variables: Model the average session time per agent to estimate total message volume. The estimator uses this to project credit consumption based on interaction depth.
Target ROI Formula: Define the benchmark as:
Estimated Savings = (Projected Deflection × Human Agent Cost) - Estimated Credit Cost.
Reference:
https://alrafayglobal.com/measure-your-ai-chatbot-roi-copilot-studio
47. Frage
A company has a Microsoft Foundry generative AI 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?
Antwort: D
Begründung:
To evaluate overall quality and coherence in Microsoft Foundry, use AI-assisted quality evaluators. These metrics use a "judge" model (like GPT-4o) to score responses on a numeric Likert scale (typically 1 to 5).
Recommended Metric: Coherence
The Coherence evaluator is the most direct fit for measuring how well-structured and logical a response is.
What it measures: The collective quality of all sentences and how they flow together.
Numeric Score: Returns an integer from 1 (Poor) to 5 (Excellent).
Output: Includes a coherence score, a coherence_reason (explanation from the judge), and a pass/fail result based on a threshold (default is 3).
Reference:
https://learn.microsoft.com/en-us/azure/foundry/how-to/evaluate-generative-ai-app
48. Frage
A company has an Azure environment that supports multiple business units.
The company plans to implement an AI solution that will perform sentiment analysis on customer product reviews.
You need to evaluate the potential cost of the solution to support return on AI investment (ROAI) analysis.
What should you use?
Antwort: A
Begründung:
Correct:
* Azure pricing calculator (Best choice)
The best tool to evaluate the potential cost of a new AI solution to support ROI analysis is the Azure pricing calculator.
Why Azure Pricing Calculator is BestProactive Estimation: It is specifically designed to estimate the costs of Azure services before they are deployed.
Granular Planning: It allows you to select specific services (e.g., Azure AI Language, Cognitive Services, Azure Machine Learning), define usage patterns, regions, and tiers to create a detailed cost estimate.
Scenario Comparison: You can create different scenarios (e.g., comparing different language models or usage volumes) to estimate the impact on ROAI Comparison of Tools Azure Pricing Calculator: Estimates costs for new, un-deployed projects. (Best Choice).
Total Cost of Ownership (TCO) Calculator: Compares on-premises infrastructure costs against Azure, typically used for large-scale migration strategies, not specific AI service modeling.Cost Management + Billing: Monitors and analyzes actual, real-time spending on already deployed resources. For a complex AI solution involving.
* Total Cost of Ownership (TCO) Calculator (Second best choice)
While Cost Management + Billing is essential for tracking actual spend once a solution is running, the TCO Calculator is specifically designed for the pre-implementation phase to support Return on AI Investment (ROAI) analysis. It allows you to estimate and compare the potential costs of moving a workload to Azure-including labor, networking, and storage-against an existing process or alternative solution.
* Cost Management + Billing (Third best)
Azure pricing calculator and Total Cost of Ownership (TCO) Calculator are both better than Cost Management + Billing, as they evaluate the potential cost and support a Return on AI Investment (ROAI) analysis before the solution is built, you need to estimate future expenses based on expected usage. Cost Management + Billing does post-deployment tracking.
A good tool still for this scenario is Cost Management + Billing. Cost Management + Billing allows you to break down and evaluate costs across many business units using tags and scope filtering.
This granular data is essential for calculating the Return on AI Investment (ROAI) for specific departments or the entire organization.
Incorrect:
* Azure Monitor
* Azure Reservations
* Azure savings plans
Is used to reduce costs for compute services via long-term commitment. It is a way to lower your bill, but not a tool for evaluating or reporting on investment performance.
* Microsoft Fabric SKU Estimator
Is used to estimate capacity needs for Fabric-specific data projects. It is eseful only if your sentiment analysis solution is built specifically on the Microsoft Fabric platform.
Note:
* Azure pricing calculator
To evaluate the potential cost of an AI solution for sentiment analysis on Azure, you should use the Azure Pricing Calculator.This tool allows you to estimate the monthly and annual costs of the specific services required for your solution-such as Azure AI Language (which provides sentiment analysis) or Azure OpenAI Service-based on your expected volume of feedback data.
* Total Cost of Ownership (TCO) Calculator
To evaluate the cost of an Azure sentiment analysis solution and support a Return on AI Investment (ROAI) analysis for multiple business units, you should use the Azure Total Cost of Ownership (TCO) Calculator.
The TCO Calculator is essential for calculating the financial impact of migrating or implementing a new solution compared to your existing infrastructure.
Step-by-Step: Using the TCO Calculator for ROAI
To perform a comprehensive ROAI analysis, follow these steps to capture the full scope of ownership:
1. Define Your Current Workload
Enter details about your existing infrastructure that the AI solution might replace or augment.
2. Adjust Assumptions
Tailor the calculator to your business environment by adjusting key metrics.
3. Review the TCO Report
The calculator generates a detailed report comparing your current costs against Azure.
Reference:
https://www.synextra.co.uk/knowledge-base/azure-tco-vs-pricing-calculator
https://www.dev4side.com/en/blog/azure-ai
49. Frage
......
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