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NEW QUESTION # 64
Hotspot Question
A company has a Microsoft Copilot Studio prompt-and-response agent.
You need to ensure that the agent meets the following requirements:
- Provides effective and relevant responses
- Provides conversational outcomes
Which metric should you use 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: Generated answers rate and quality
Provides effective and relevant responses:
To ensure your Microsoft Copilot Studio agent provides effective and relevant responses, you should focus on the Generated Answer Rate and Quality metrics found in the Analytics dashboard. These metrics help you identify where the agent is succeeding and where knowledge gaps exist.
Key Quality Metrics
Generated Answer Rate: Measures the frequency with which the agent successfully triggers a generative response from its knowledge sources.
Response Quality (Good vs. Poor): Copilot Studio automatically labels a sample of responses as
"Good" or "Poor" quality based on AI assessment of relevance, completeness, and grounding.
Poor Quality Reasons: If a response is labeled "Poor," the system provides specific reasons, such as being incomplete, irrelevant, or not fully grounded.
Unanswered Questions: Tracks queries the agent could not answer, helping you identify missing documentation or topics.
Box 2: Satisfaction
Provides conversational outcomes
To ensure your Microsoft Copilot Studio prompt-and-response agent provides optimal conversational outcomes, you should use the Customer Satisfaction (CSAT) metric.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-improve-agent-effectiveness
https://learn.microsoft.com/en-au/microsoft-copilot-studio/guidance/analytics
NEW QUESTION # 65
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives.
You need to recommend a testing solution that meets the following requirements:
- Evaluates agent effectiveness during active sessions
- Validates whether the agent delivers accurate and helpful responses
- Provides measurable, actionable insights for continuous improvement
What should you recommend?
Answer: D
Explanation:
To establish a testing and evaluation setup for your Microsoft Copilot Studio agent within Dynamics 365 Customer Service, you should leverage specialized AI-driven evaluation agents and integrated analytics dashboards.
1. Evaluate Effectiveness and Accuracy
Use the Quality Evaluation Agent in Dynamics 365 to automate the assessment of agent performance during and after active sessions.
2. Track Measurable Insights with Dashboards
Utilize the built-in and customizable dashboards to monitor key performance indicators (KPIs) like resolution and deflection.
3. Ensure Consistency with Agent Scripts
To maintain uniform and company-endorsed communication, implement Agent Scripts within the Customer Service Admin center.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/manage-quality- evaluation-agent
NEW QUESTION # 66
Which framework should you use for the infrastructure migration?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answer is A. Microsoft Cloud Adoption Framework for Azure.
In this scenario, Fabrikam is moving from a fully on-premises environment to a completely cloud-based topology, and the requirements explicitly state that:
Azure must be used for all future infrastructure workloads
the company must follow Microsoft-recommended methodologies for infrastructure migration to the cloud That wording points directly to the Microsoft Cloud Adoption Framework for Azure.
The Cloud Adoption Framework is Microsoft's primary guidance for planning and executing enterprise cloud migrations. It is not just a technical migration checklist; it is a full strategic framework that helps organizations move workloads to Azure in a structured and governed way. It covers key areas such as:
migration strategy
readiness assessment
governance
identity and security planning
landing zones
operations management
organizational alignment
adoption planning
From an AI-powered business solutions perspective, this matters because AI solutions only succeed when the underlying infrastructure is modernized correctly. Fabrikam's goals include cloud migration, Dataverse consolidation, Dynamics 365 Sales adoption, and AI-first business operations. All of these depend on a strong Azure-based cloud foundation. The Cloud Adoption Framework helps ensure that this transformation is done in a way that is scalable, secure, and aligned to business outcomes.
Why the other options are incorrect:
B). Success by Design
This framework is mainly used for designing and implementing business applications in a way that improves adoption, usability, and solution quality. It is highly relevant for conversational experiences, application rollout, and ensuring users get value from solutions such as Dynamics 365 and Copilot-related implementations. However, it is not the primary framework for infrastructure migration to Azure.
C). Microsoft Power Platform Center of Excellence (CoE)
The CoE is used to establish governance, monitoring, best practices, and enablement for Power Platform usage across an organization. It helps manage makers, apps, flows, and adoption across Power Platform environments. While it is useful after adoption begins, it is not the framework used to migrate enterprise infrastructure to Azure.
D). Microsoft Power Platform Project Setup Wizard
This is more of a project setup and configuration aid for Power Platform implementations. It does not provide enterprise-scale migration guidance for moving an organization's infrastructure from on-premises systems to Azure.
Expert reasoning:
When a question mentions infrastructure migration, Azure, and Microsoft-recommended methodology, the best match is almost always the Microsoft Cloud Adoption Framework for Azure. In Microsoft solution architecture and AI business transformation scenarios, this framework is the standard answer for cloud migration planning and execution.
Category Breakdown
Category Number of Questions
Plan AI-powered business solutions 29
Deploy AI-powered business solutions 44
Design AI-powered business solutions 32
TOTAL 105
Exam Topic Breakdown
Exam Topic Number of Questions
Topic 2, Contoso. LtdOverview
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
NEW QUESTION # 67
What should you include in the custom Al agent design to meet the R & D product specifications and the compliance information requirements? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
To expose the data to the agent, create: a custom connector
Add to the agent: the MCP server
The custom agent must answer questions about product specifications and compliance information, and the case study states that the R & D department already has a custom Model Context Protocol (MCP) server containing that information.
The best design is:
create a custom connector to expose that external capability cleanly to the low-code Copilot solution add the MCP server to the agent so the agent can use that external knowledge/tooling source Why this is correct:
The MCP server already exists and contains the needed product-specification and compliance data.
In a Copilot/agent design, you need a way to expose external functionality and data in a reusable, secure way.
A custom connector is the low-code integration mechanism that fits this requirement.
Then the agent can use the MCP server as the connected external capability for answering those questions.
Why the other options are not correct:
Azure AI Bot Service channel is for communication channels, not for exposing this knowledge source.
a custom OData entity is not the right pattern for integrating the existing MCP-based capability.
the Semantic Kernel is a developer orchestration framework, but the requirement emphasizes using the existing MCP technology in a low-code solution.
an event trigger is unrelated to exposing R & D specification/compliance knowledge.
a REST API is too generic here; the scenario specifically points to the existing MCP server.
a tool is close conceptually, but the most direct answer choice tied to the existing R & D technology is the MCP server.
NEW QUESTION # 68
You need to design an application lifecycle management (ALM) process for a Microsoft Power Platform environment that contains a solution named Solution1.
Solution1 must include a custom connector for Copilot in Microsoft Dynamics 365 Customer Service.
Solution1 must meet the following requirements:
* Ensure that the custom connector can be deployed consistently across environments as part of the ALM process.
* Allow the custom connector to be edited only in the development environment.
What should you include in the design?
Answer: C
Explanation:
The requirements are classic Power Platform ALM requirements:
* the custom connector must be deployed consistently across environments
* it should be editable only in development
The correct design choice is to add the custom connector to Solution1 .
Why B is correct:
* Putting the custom connector inside the solution makes it part of the ALM package
* It can then be exported and imported consistently across environments
* In production, when deployed properly through managed solutions, it is not freely edited there, which supports the requirement that editing happens only in development Why the other options are not correct:
* A. Share the custom connector controls access, not ALM packaging and deployment consistency
* C. Create the custom connector in the default solution is not the recommended ALM approach for controlled deployment
* D. Add the custom connector to GitHub may help source control, but by itself it does not satisfy Power Platform deployment packaging across environments
NEW QUESTION # 69
......
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