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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Design Agentic AI Solutions | 30-35% | - Define agent capabilities and boundaries - Select appropriate AI models and services - Design multi-agent architectures - Identify business scenarios for agentic AI |
| Topic 2: Implement Agentic AI Solutions | 30-35% | - Configure security and compliance settings - Configure AI agents using Microsoft Copilot Studio - Implement data connections and plugins - Set up agent-to-agent communication |
| Topic 3: Governance and Best Practices | 10-15% | - Apply responsible AI principles - Implement data privacy and security controls - Ensure regulatory compliance |
| Topic 4: Deploy and Monitor Agentic AI Solutions | 20-25% | - Implement error handling and logging - Optimize agent performance - Publish and deploy agent solutions - Configure monitoring and analytics |
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NEW QUESTION # 66
A company has a Microsoft Foundry agent that summarizes customer feedback and recommends products to customers. The agent references data from multiple knowledge sources.
Users report that the agent response time is slow.
Telemetry data shows that the agent frequently reaches its token usage limit You need to recommend a solution to reduce token usage without degrading the quality of the generated responses.
What should you recommend?
Answer: B
Explanation:
The problem is not just that the agent is slow. The telemetry specifically says it frequently reaches its token usage limit . That means too much content is being pulled into the prompt or context window before the model generates the answer.
The best recommendation is D. Reconfigure the prompts to limit the amount of retrieved content from the knowledge sources.
Why D is correct:
* It directly targets the root cause: too many tokens from retrieved context
* It reduces unnecessary context while still keeping the most relevant information
* It helps preserve response quality better than simply cutting capabilities or hard-limiting output size Why the other options are less suitable:
* A. Chunk documents during indexing can improve retrieval quality in some RAG scenarios, but it does not directly guarantee lower total retrieved token volume in the final prompt
* B. Lower the maximum token usage limit for the responses may reduce output length, but it does not solve excessive input-context usage and can hurt response quality
* C. Reduce the number of knowledge sources used by the agent is too blunt and may remove useful grounding unnecessarily
NEW QUESTION # 67
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 # 68
Which framework should you use to meet t he 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, s ecure, 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 1, Fabrikam, Inc
Background - Fabrikam, Inc., is a global consumer goods company that is undergoing a digital transformation initiative to migrate its entire infrastructure to the Microsoft cloud. As a key element of this cloud migration, the company will implement Microsoft Dynamics 365 Sales, moving away from the current on-premises proprietary technolog ies used by its business-to-business (B2B) sales team. As part of the cloud migration, Fabrikam will adopt an AI-first approach to its business solutions and implement AI solutions, wherever possible, to streamline operations. Problem Statements - Fabrika m ' s infrastructure currently relies on various on-premises systems that require sales executives to use corporate computers with physical keyboards to access business information during customer interactions. Mobile phones cannot be used for these purposes
, as the systems depend on keyboard input. As a result, the sales executives spend a lot of time using keyboards to search for data on several disparate systems and file servers, rather than focusing on the customers. This affects the customer experience. Fabrikam stakeholders are concerned that users will be hesitant to adopt AI. If the AI initiatives are NOT adopted, cost savings will never be realized. Additionally, funding for future AI initiatives will depend on demonstrating an increase in AI adoption month over month.
As the AI agent initiative for the sales team will be the first for Fabrikam, the rapid adoption of the agent is a high priority. Planned Initiatives - General - Fabrikam management has prioritized AI-driven projects to improve efficie ncy, customer engagement, and responsible AI adoption. The current application infrastructure is on-premises and must be migrated to the cloud to support the adoption of these technologies.
Infrastructure Migration - Fabrikam plans to migrate from its cur rent on-premises infrastructure to a completely cloud-based topology; this will include user authentication, the security framework, and, primarily, the adoption of the services by end users. All the data from the different systems will be consolidated int o a single data source - a common data model that will use a Microsoft Dataverse environment as a single source of truth (SSOT) for the sales team. Sales Cycle Enablement - To achieve the company ' s objectives, Fabrikam intends to implement the following s trategies to enhance the sales cycle:
Use low-code development to create a single AI agent that has Dataverse as its core component. Ensure that sales managers can access unanswered correspondence from prospects and intervene as appropriate. Replace the pr evious proprietary software with Dynamics 365 Sales to track sales cycles and customer interactions.
Have the sales executives use Dynamics 365 Sales to track interactions for open opportunities and send follow-up communications to prospects. Have the sale s executives use handsfree headsets to interact with an AI agent when they have questions about internal policies or customer data. Requirements - Infrastructure Migration - Fabrikam has identified the following infrastructure migration requirements: Azu re must be used for all future infrastructure workloads. The company must follow Microsoft-recommended methodologies for infrastructure migration to the cloud. Any created AI agents must have their return on investment (ROI) calculated to ensure that the s olution will save the company money. Sales Cycle Enablement - Fabrikam has identified the following requirements for sales cycle enablement: The final AI agent must follow Microsoft recommendations for a conversational user experience. A designated checkl ist must be reviewed to ensure that the AI agent follows Microsoft deployment recommendations for a compliant solution. Detailed telemetry must be logged for the first created AI agent to help troubleshoot and optimize the agent during the initial AI agent adoption process. Unexpected AI agent actions must end in an escalation to a live representative. For example, a sales executive must be rerouted to a representative if the agent cannot answer a question after two failed attempts. The return on investment (ROI) of switching from the current process to the future process is required for stakeholder sign off. The sales team must use Dynamics 365 Sales to correspond with prospects more quickly and efficiently than currently. Sales managers must report on the adoption of the AI agent to key Fabrikam stakeholders on a monthly basis. Any sensitive information, such as user IDs and names, shared via the AI agent must be tracked for future auditing.
NEW QUESTION # 69
Scenario: You are in the process of adding an existing critical backend service (e.g., for inventory management or order fulfillment) to an agent being built in Microsoft Copilot Studio. The goal is for the agent to effectively use this service for retrieving inventory levels, updating records, and executing specific business logic on behalf of the user.
What is the essential requirement for successfully integrating this backend service so the agent can reliably consume its capabilities within Microsoft Copilot Studio?
Answer: C
Explanation:
The service must expose an MCP-compliant interface for the agent to consume is correct because - Microsoft's strategy for agent interoperability, especially within the Copilot ecosystem (including Copilot Studio), heavily relies on the Model Context Protocol (MCP). For an agent to understand and reliably interact with a backend service to perform actions, that service needs to expose its capabilities (functions, parameters, descriptions) in an MCP-compliant manner.
References:
https://learn.microsoft.com/en-us/agent-framework/overview/agent-framework-overview
https://learn.microsoft.com/en-us/microsoft-copilot-studio/mcp-add-existing-server-to-agent
NEW QUESTION # 70
A company plans to implement an AI solution that will contain a Microsoft Copilot Studio agent and a Microsoft Foundry agent. The solution will be stored in a source code repository.
You need to recommend a deployment method for each agent. The solution must meet the following requirements:
A test environment must be used before a deployment to production.
Production must be isolated from development and testing.
The deployment must be repeatable and fully automated.
The solution must NOT require manual intervention.
Which deployment method should you recommend for each agent? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Copilot Studio # Use a Microsoft Power Platform deployment pipeline; Microsoft Foundry # Use an Azure DevOps pipeline
NEW QUESTION # 71
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2026 Latest Prep4King AB-100 PDF Dumps and AB-100 Exam Engine Free Share: https://drive.google.com/open?id=1eOn6yIlr0SoIJ-7EluEU05gV69PJ5pfD