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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Deploy AI-powered business solutions | 45% | - Security, governance, and ALM
|
| Topic 2: Plan AI-powered business solutions | 25% | - AI strategy and requirements analysis
|
| Topic 3: Design AI-powered business solutions | 30% | - Extensibility and orchestration
|
>> Reliable AB-100 Exam Topics <<
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NEW QUESTION # 76
Case Study 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 technologies 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
Fabrikam'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 efficiency, 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 current 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 into 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 strategies 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 previous 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 sales 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:
- Azure 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 solution 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 checklist 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.
Which tool should you recommend to help secure funding for future AI agent development?
Answer: E
Explanation:
Scenario
Requirements
Any created AI agents must have their return on investment (ROI) calculated to ensure that the solution will save the company money.
--
In a Microsoft AI migration, calculating the Return on Investment (ROI) for AI agents is essential for justifying costs and securing future funding. You can utilize the Analytics tab in Microsoft Copilot Studio to track these financial and performance metrics directly.
Calculating ROI with Copilot Studio Analytics
The Analytics tab provides a dedicated Savings tile (ROI) that allows you to quantify the impact of your agents:
Define Savings Parameters: You can input estimated time saved (in seconds, minutes, or hours) and money saved per successful agent run.
Real-Time Tracking: Total savings are calculated automatically for your selected period based on successful runs of resolved conversations.
Retroactive Application: If you update your savings estimates, the system can apply these changes to previous runs to provide an accurate historical view.
Granular Insights: Savings can be defined at the overall agent-run level or for specific tools used within a run.
Reference:
https://learn.microsoft.com/en-us/training/modules/forecast-agent-return-investment/
NEW QUESTION # 77
A company has a Microsoft Copilot Studio agent that uses generative AI to assist Microsoft Dynamics 365 Customer Service representatives.
The agent currently exhibits a low resolution rate and a high escalation rate.
You need to identify the issue.
What should you use?
Answer: A
Explanation:
To locate the problem behind a low resolution and high escalation rate in your Copilot Studio agent, you should focus on a multi-layered diagnostic approach. High escalation typically signals that the agent is hitting a "Fallback" trigger or failing to find grounded answers in its knowledge base.
Core Diagnostic Steps
Analyze Analytics Dashboards
*-> Use the built-in Copilot Studio Analytics tab to identify high-level trends.
Escalation Rate Drivers: Look for the top 5-10 topics causing escalations. Improving these key topics by even 10% can significantly boost overall deflection.
Outcome Reason: Check the outcomeReason in the ConversationTranscript table in Dataverse to see if sessions end due to abandonment, system errors, or explicit user requests for a human.
Reference:
https://sharepoint247.com/copilot-studio/change-or-remove-the-escalate-functionality-in-copilot-studio
NEW QUESTION # 78
A company has an ecommerce support portal that uses Microsoft Dataverse.
You are designing a Microsoft Copilot Studio agent for the portal. The agent must meet the following requirements:
* Respond with a default help message when the user input is unclear.
* Initiate external processes, such as retrieving the order status, when users make specific requests.
Generative orchestration will be enabled for the solution. You need to recommend a feature for each requirement.
What should you recommend? To answer, drag the appropriate features to the correct requirements. Each feature 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:
Explanation:
In Microsoft Copilot Studio, especially when generative orchestration is enabled, the agent selects the most appropriate capability based on user intent.
For the first requirement, when a user's input is vague, ambiguous, or does not clearly map to a known action, the correct feature is the Fallback topic . This topic is specifically intended to handle situations where the copilot cannot confidently determine the user's intent. It provides a safe default response such as a help message, clarification request, or guidance on what the user can ask next.
For the second requirement, when the user asks for something that requires interacting with an outside system-such as checking order status-the correct feature is a tool (connector) . In Copilot Studio, tools
/connectors are used to call external services, APIs, workflows, or business systems. Since the portal uses Microsoft Dataverse , and the scenario involves starting an external process based on the user's request, a connector-backed tool is the right design choice.
Why the other options are not correct here:
* A trigger phrase is used to help match utterances to a topic, but it does not itself provide the default unclear-input handling or execute external business processes.
* A skill is not the best answer in this context; Copilot Studio commonly uses tools/connectors/actions for external operations.
* The Escalate topic is used when handing off to a human or another escalation path, not for unclear input by default.
NEW QUESTION # 79
A company has two Microsoft Power Platform environments named Devi and Prodi. A Microsoft Copilot Studio agent named Agent1 is built into a solution in the Devi environment.
You plan to deploy Agent1 to Prodi.
You need to make Agent1 available to the users in Prodi. The solution must minimize administrative effort.
What should you do?
Answer: A
Explanation:
Because Agent1 is built into a solution in the Dev1 environment and must be deployed to Prod1 with minimal administrative effort, the recommended ALM approach is to export the solution as a managed solution and import it into production.
Why A is correct:
Managed solutions are the standard choice for production deployment
They support cleaner governance and controlled changes in the target environment They minimize manual recreation and reduce admin overhead compared with rebuilding the agent
NEW QUESTION # 80
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: A,D
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 So the correct choices are:
NEW QUESTION # 81
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