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NEW QUESTION # 84
A company uses a Microsoft Copilot Studio agent to automate tasks in a web app.
During testing, you discover that the automation sometimes fails because of frequent changes to the app s user interface. You need to recommend a solution to ensure that the agent successfully automates the tasks. The solution must minimize changes to the agent. What should you include in the recommendation?
Answer: B
Explanation:
The key issue in this scenario is that the web app user interface changes frequently , which causes the automation to fail. The requirement also says the solution must minimize changes to the agent .
The best recommendation is Computer Use in Copilot Studio .
Why this is correct:
* Computer Use is designed for UI-based automation where the agent interacts with applications much like a human would.
* It is especially useful when a system does not provide a stable API or when the UI changes over time.
* Compared with rigid selectors or brittle scripted automations, Computer Use is more resilient in dynamic interfaces.
* This directly addresses the problem of frequent UI changes while reducing the need to constantly redesign or heavily modify the existing agent.
Why the other options are not the best fit:
* A. conversation topics in Copilot Studio Topics help guide dialog and intent handling. They do not solve UI automation fragility caused by changing app screens.
* B. an agent flow in Copilot Studio Agent flows help orchestrate logic and process steps, but they do not specifically solve the issue of unreliable UI interaction caused by layout changes.
* D. custom models in Azure AI Studio Custom AI models are for specialized intelligence tasks, not for stabilizing web UI automation.
NEW QUESTION # 85
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: D
Explanation:
The question asks for a design element that evaluates:
total cost of ownership (TCO)
expected savings from automation
whether to extend existing AI capabilities
Those are classic investment-evaluation considerations, so the best answer is B. a return on AI investment (ROAI) analysis.
Why B is correct:
ROAI analysis compares the financial benefits of the AI solution against its full costs It incorporates deployment cost, operating cost, maintenance, scaling, and savings from automation It is the right framework when the company is specifically worried about budget overruns and wants a business case for expansion or extension
NEW QUESTION # 86
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.
Drag and Drop Question
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:
NEW QUESTION # 87
A company has an AI solution that uses a Microsoft Copilot Studio agent.
You need to monitor the agent ' s performance. The solution must meet the following requirements:
Monitor the agent ' s telemetry in near-real-time (NRT).
Download transcripts of full conversations.
Monitor the agent ' s usage and performance.
What should you use for each requirement? To answer, drag the appropriate options to the correct requirements. Each option may be used once, more than once, or not at all.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Monitor telemetry in NRT # Application Insights; Download transcripts of full conversations # Copilot Studio; Monitor usage and performance # Copilot Studio The correct mapping is:
Monitor the agent ' s telemetry in near-real-time (NRT) # Application Insights Download transcripts of full conversations # Copilot Studio Monitor the agent ' s usage and performance # Copilot Studio Why Application Insights is correct for NRT telemetry Application Insights is the right choice for near-real-time telemetry because it is built for operational monitoring of application events, traces, failures, latency, and runtime behavior.
For a Copilot Studio agent, Application Insights is used when you want fast visibility into:
request activity
errors and exceptions
latency trends
runtime traces
telemetry streaming for troubleshooting
From an AI business solutions perspective, this is essential for early detection of issues in production, especially when the agent supports customer or employee workflows.
Why Copilot Studio is correct for full conversation transcripts
Copilot Studio provides access to conversation/session-level analysis, including the ability to review and download full conversation transcripts.
This is the correct place to inspect:
what the user asked
how the agent responded
where the conversation failed
whether escalation occurred
what happened across the whole interaction
That makes it the best tool for transcript retrieval and investigation.
Why Copilot Studio is also correct for usage and performance
Copilot Studio includes built-in analytics for monitoring agent usage and performance, such as:
conversation volume
engagement
resolution trends
escalation behavior
answer quality and outcomes
This supports business-level performance monitoring and continuous improvement.
Why the other options are incorrect
Log Analytics
Log Analytics is useful for querying centralized logs, but it is not the best direct answer here for near-real- time Copilot telemetry or full conversation transcript download in this scenario.
Microsoft Power Apps
Power Apps is not the monitoring platform for Copilot Studio telemetry, transcripts, or usage/performance analytics.
Expert reasoning
Use this exam shortcut:
Near-real-time telemetry and operational tracing # Application Insights Conversation transcripts # Copilot Studio Agent usage and performance analytics # Copilot Studio
NEW QUESTION # 88
A company has an Al solution named Solution1 that is deployed to the production environment.
Solution! uses an Azure OpenAI model to generate marketing emails for existing customers.
During an internal review, you identify that Solution1 creates different emails depending on the customers' traits.
You need to recommend a strategy to mitigate the bias. The strategy must adhere to Microsoft responsible Al principles.
What should you recommend?
Answer: A
Explanation:
The scenario describes a deployed AI solution using Azure OpenAI that exhibits bias (creating disparate outcomes based on customer traits). This directly impacts the Fairness principle of Microsoft's Responsible AI framework.
Why "Modify the system instructions" is the Correct Strategy:
Direct Control via System Metaprompts: In large language model (LLM) applications like those powered by Azure OpenAI, the system instructions (or system message) define the behavior, constraints, and tone of the model. By modifying these instructions, you can explicitly direct the model to treat all customer segments equitably and ignore specific sensitive traits when drafting marketing content.
NEW QUESTION # 89
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