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| Section | Weight | Objectives |
|---|---|---|
| Plan AI-powered business solutions | 25% | - AI strategy and requirements analysis
|
| Design AI-powered business solutions | 30% | - Extensibility and orchestration
|
| Deploy AI-powered business solutions | 45% | - Security, governance, and ALM
|
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NEW QUESTION # 93
A company plans to deploy a Microsoft Dynamics 365 Contact Center agent.
You need to ensure that the agent can transfer the conversation to a live customer service representative.
Which two components should you include in the solution? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answers are B. Microsoft Copilot Studio and E. Customer engagement hub .
This question focuses on enabling a Dynamics 365 Contact Center agent to hand off a conversation to a live customer service representative . That requires both:
* the tool used to build and configure the conversational agent
* the service environment where live customer engagement and routing occur Why B. Microsoft Copilot Studio is correct Microsoft Copilot Studio is the platform used to build, configure, and manage the contact center agent experience. It enables you to define conversation flows, escalation logic, triggers, and handoff behavior.
In this case, the requirement is specifically that the agent must be able to transfer the conversation to a live representative. Copilot Studio is where that escalation or transfer behavior is designed as part of the agent experience.
Why E. Customer engagement hub is correct
The Customer engagement hub provides the operational environment for customer service interactions and live-agent engagement within Dynamics 365. Once the AI agent determines that escalation is required, the live representative needs an environment to receive and continue that engagement.
From a business solutions architecture perspective, this makes sense:
* Copilot Studio defines the agent and transfer logic
* Customer engagement hub supports the human service experience after transfer Together, they satisfy the end-to-end requirement for AI-to-human handoff.
Why the other options are incorrect
A). Microsoft Foundry
Foundry supports AI model and agent development scenarios, but it is not the specific component needed for live-agent transfer in Dynamics 365 Contact Center.
C). Microsoft 365 Agents Toolkit
This is not the core component for enabling Dynamics 365 Contact Center handoff to a live service representative.
D). an Azure AI Bot Service skill
Bot skills can extend capabilities, but they are not the primary required components for enabling the standard transfer from a Dynamics 365 Contact Center agent to a live customer service representative.
Expert reasoning:
For Contact Center escalation questions, think in two layers:
* agent authoring/orchestration # Microsoft Copilot Studio
* human service environment / live representative experience # Customer engagement hub
NEW QUESTION # 94
You need to recommend a Microsoft Power Platform business solution that consolidates data from multiple internal and external data sources. The solution must meet the following requirements:
Provide the data as a centralized source for multiple AI systems, including Microsoft Copilot Studio agents, Dynamics 365 applications, and external AI models.
Support built-in data classification and protection policies.
Provide data for grounding and analytics.
What should you include in the recommendation?
Answer: D
NEW QUESTION # 95
You are creating validation criteria for a custom generative AI model that produces business reports based on internal enterprise data.
You need to assess whether the model's outputs are appropriate and meaningful for the business reports.
Which metric should you use?
Answer: A
Explanation:
To validate a custom generative AI model for business reports based on internal data, you should focus on alignment with domain-specific tasks through a mix of automated and human-centric metrics.
Validation Criteria for Business Reports
*-> Task-Specific Quality Evaluation (TSQE): This is your primary metric for assessing whether outputs are meaningful for specific business tasks.
* Groundedness and Factuality: Measure the model's ability to provide information strictly referenced from your internal enterprise data. This prevents "hallucinations" that could lead to poor business decisions.
* Domain-Specific Benchmarking: Compare AI outputs against "ground truth" data-verified, accurate reports previously created by human experts.
Reference:
https://www.prompts.ai/blog/how-to-evaluate-generative-ai-llm-outputs-with-structure-and- precision
NEW QUESTION # 96
You use Microsoft Copilot Studio analytics to analyze the performance of a deployed Copilot Studio agent.
You need to identify which performance metrics to use to measure the following:
* The percentage of engaged sessions that are escalated to a live customer service representative
* The number of agent queries that cause a knowledge source error
What should you identify for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
In Microsoft Copilot Studio analytics, each metric is designed to measure a different aspect of agent performance.
For the first requirement, the metric that tracks the percentage of engaged sessions escalated to a live customer service representative is Escalation rate. This directly measures how often conversations are handed off from the agent to a human.
For the second requirement, the metric that helps identify queries causing a knowledge source error is Answer quality. This area evaluates how well the agent responds and includes issues related to grounded answers, failed responses, and knowledge-source-related problems.
Why the other options are not correct:
Customer Satisfaction (CSAT) score measures user satisfaction, not escalation percentage or knowledge source errors.
Engagement rate measures whether users actively interact with the agent, not whether sessions are escalated or whether a knowledge source failed.
NEW QUESTION # 97
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.
Answer:
Explanation:
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
NEW QUESTION # 98
......
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