AB-100 Free Practice Questions — Page 5

Question 42

A company uses Microsoft Foundry agents. You need to ensure that an agent can dynamically use external tools at runtime without updating the agent. What should you include in the solution?

Question 43

A company uses Microsoft Dynamics 365 to manage service operations. Dispatchers coordinate service requests, and technicians perform scheduled on-site work. You need to design a solution that will use Microsoft Copilot to improve the efficiency of the service operations. The solution must meet the following requirements: • Provide AI-driven assistance to help staff organize and resolve work orders. • Deliver contextual AI support to frontline workers as they prepare for and complete customer appointments. Which two components should you include in the design? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.

Question 44

DRAG DROP - A company has an ecommerce support portal that uses Microsoft Dataverse. You are designing a Microsoft Copilot Studio agent for the portal. The agent must meet the following requirements: • Respond with a default help message when the user input is unclear. • Initiate external processes, such as retrieving the order status, when users make specific requests. Generative orchestration will be enabled for the solution. You need to recommend a feature for each requirement. What should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature 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.

Question 45

You need to design a Microsoft Copilot Studio agent for customer support. The agent must securely retrieve product warranty data from a REST API. The solution must minimize development effort. What should you include in the design?

Question 46

Case study - This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study. To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study. A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it. To start the case study - To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions. When you are ready to answer a question, select the "Question" button to return to the question. 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. What should you configure for the custom AI agent?

Question 47

Case study - This is a case study. Case studies are not timed separately from other exam sections. You can use as much exam time as you would like to complete each case study. However, there might be additional case studies or other exam sections. Manage your time to ensure that you can complete all the exam sections in the time provided. Pay attention to the Exam Progress at the top of the screen so you have sufficient time to complete any exam sections that follow this case study. To answer the case study questions, you will need to reference information that is provided in the case. Case studies and associated questions might contain exhibits or other resources that provide more information about the scenario described in the case. Information provided in an individual question does not apply to the other questions in the case study. A Review Screen will appear at the end of this case study. From the Review Screen, you can review and change your answers before you move to the next exam section. After you leave this case study, you will NOT be able to return to it. To start the case study - To display the first question in this case study, select the "Next" button. To the left of the question, a menu provides links to information such as business requirements, the existing environment, and problem statements. Please read through all this information before answering any questions. When you are ready to answer a question, select the "Question" button to return to the question. 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.

Question 48

A company has an AI agent that automates the review of customer feedback stored in a cloud database. You plan to generate monthly reports from the agent's output to provide insights into customer sentiment and guide product development and marketing. You need to ensure that the data ingested by the agent is clean and suitable for the intended use. What should you do to prepare the data?

Question 49

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 AI capabilities. What should you include in the design?

Question 50

A company plans to deploy a Microsoft Copilot Studio agent to enhance customer support. The company stores customer data across ServiceNow, Microsoft Dynamics 365 Finance, Dynamics 365 Supply Chain Management, and Excel files in SharePoint Online. You need to recommend a solution to ensure that the agent can deliver accurate and timely responses. What should you recommend?

Question 51

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?