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| Section | Weight | Objectives |
|---|---|---|
| Design Agentic AI Solutions | 30-35% | - Identify business scenarios for agentic AI - Select appropriate AI models and services - Define agent capabilities and boundaries - Design multi-agent architectures |
| Implement Agentic AI Solutions | 30-35% | - Set up agent-to-agent communication - Implement data connections and plugins - Configure security and compliance settings - Configure AI agents using Microsoft Copilot Studio |
| Deploy and Monitor Agentic AI Solutions | 20-25% | - Configure monitoring and analytics - Publish and deploy agent solutions - Optimize agent performance - Implement error handling and logging |
| Governance and Best Practices | 10-15% | - Apply responsible AI principles - Ensure regulatory compliance - Implement data privacy and security controls |
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NEW QUESTION # 34
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company has a team that analyzes its customers by using a manual process.
You are designing an AI-based agent to automate and improve the process.
You need to recommend on which platform to build the agent.
The solution must meet the following requirements:
* Use generative AI to answer common questions.
* Provide analytics to review AI performance.
* Identify customer demographics.
* Minimize custom development.
Solution: You recommend Microsoft Security Copilot.
Does this meet the goal?
Answer: A
NEW QUESTION # 35
Note: This section contains one or more sets of questions with the same scenario and problem. Each question presents a unique solution to the problem. You must determine whether the solution meets the stated goals. More than one solution in the set might solve the problem. It is also possible that none of the solutions in the set solve the problem.
After you answer a question in this section, you will NOT be able to return. As a result, these questions do not appear on the Review Screen.
A company uses Microsoft 365 and Dynamics 365.
You need to recommend a solution to automatically summarize email threads, generate suggested replies in Microsoft Outlook, and provide meeting preparation summaries that include relevant customer relationship management (CRM) data.
Solution: You recommend a Microsoft 365 Copilot agent template.
Does this meet the goal?
Answer: A
Explanation:
Correct:
* You recommend Microsoft 365 Copilot for Sales.
Incorrect:
* You recommend a classic Microsoft Dataverse workflow.
* You recommend a Microsoft 365 Copilot agent template.
Note:
In the described scenario, Microsoft 365 Copilot for Sales acts as the primary bridge between your productivity tools and CRM data. It integrates directly into Microsoft Outlook and Teams to surface real-time insights from Dynamics 365 Sales or Salesforce.
Key capabilities for this specific workflow include:
Automated Email Summarization: Copilot scans long email threads in Outlook to extract key points, highlights, and BANT (Budget, Authority, Need, Timeline) data. If the sender is an external contact recognized in your CRM, the summary is automatically enriched with relevant account and opportunity data.
Suggested Email Replies: When replying to customer emails, Copilot generates drafts based on the context of the conversation and existing CRM data. You can use predefined response categories (e.g., "Reply to an inquiry," "Offer a proposal") or custom prompts to include specific opportunity details in the draft.
Meeting Preparation Summaries: Before a scheduled meeting, Copilot for Sales provides a
"preparation card" in Teams or Outlook. This summary includes:
- CRM Data: Matched opportunity and account attributes.
- Contextual History: Summaries of past email exchanges and the last three seller notes.
- Strategic Insights: Key risks, follow-up actions, and discussion points from previous interactions.
Reference:
https://msdynamicsworld.com/blog/microsoft-copilot-sales-close-deals-faster-ai
NEW QUESTION # 36
A company has a customer order system that creates sales orders manually.
You need to design an Ai solution to automate the following tasks as part of the system:
* Save the order details to a database.
* Update the order status m the database.
* Extract the order details from an order file
* Prepare and send a confirmation email to customers.
The solution must minimize development effort and support intelligent automation and solution integration.
What should you include m the design?
Answer: D
NEW QUESTION # 37
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 # 38
A company has an Al business solution that uses Microsoft Copilot Studio agents. You need to recommend prompt best practices to improve the effectiveness of agent interactions. Which two actions should you include in the recommendation? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
For Microsoft Copilot Studio agents, effective prompting depends on giving the model strong guidance and continuously improving that guidance from real interactions.
C). Use clear and specific instructions in the prompts is correct because well-written prompts reduce ambiguity, improve intent interpretation, and make the agent's behavior more reliable and consistent.
D). Regularly test and refine the prompts based on user input is also correct because prompt quality improves through iteration. Reviewing how users actually interact with the agent helps identify unclear wording, missing instructions, and failure cases.
Why the others are not correct:
* A. Measure system resource usage during prompt processing is an operations/performance activity, not a prompt best practice.
* B. Analyze the prompt length distribution may be interesting analytically, but it is not a primary best practice for improving agent interactions.
* E. Track the duration of the average user session is a usage metric, not a prompt-engineering best practice.
NEW QUESTION # 39
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