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NEW QUESTION # 30
Scenario: A customer support organization aims to significantly improve its case resolution times and overall agent efficiency. They are looking for an AI solution that can provide real-time assistance to agents by summarizing ongoing conversations, suggesting relevant next best actions, and quickly retrieving historical customer data directly within their workflow.
Which specific Microsoft capability is designed to provide these AI-driven features for enhancing agent productivity within a customer service environment?
Answer: D
NEW QUESTION # 31
Case Study 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 AI 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 AI solutions.
Requirements
AI Adoption
The following executives will have specific responsibilities in the overall AI adoption:
- Chief Technology Officer (CTO): Select one Dynamics 365 Finance,
Dynamics 365 Supply Chain Management or Dynamics 365 Commerce prebuilt
AI agent and one custom Microsoft Copilot Studio AI agent to prioritize and deploy during the initial AI adoption phase.
- Chief Information Officer (CIO): Ensure that appropriate security
labels are assigned to the data used by the AI agents.
- Chief Financial Officer (CFO): Analyze the return on investment (ROI) for the AI agents being deployed.
- Chief Information Security Officer (CISO): Discover and inventory AI
resources for auditing.
- Chief Executive Officer (CEO): Ensure that all solutions adhere to
industry-standard responsible AI practices.
All AI 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 AI 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 AI 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 AI 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 AI agent requirements:
- The custom AI agent will use data from Dynamics 365 Supply Chain
Management to answer questions for the manufacturing team as a low-code solution.
- The custom AI agent will be accessible from within Microsoft Teams.
- The custom AI agent must be designed to eventually connect to other
agents that can be selected based on their description.
- The topics used in the custom AI 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 AI 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 AI agent must be integrated with and accessible from
Dynamics 365 Supply Chain Management.
- The custom AI 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 analysis, reporting, and troubleshooting requirements:
- The CISO will audit all the AI solutions monthly for compliance and
security.
- The CFO will analyze all the AI 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 AI 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 AI 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 AI 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.
What should you recommend to assist the CTO with the prebuilt agent selection process?
Answer: C
Explanation:
Agent management is the correct tool to use for viewing available agent templates and deciding which AI agent to use within Dynamics 365 Supply Chain Management.
Available Agent Discovery Tools
When working within Dynamics 365 Finance and Operations apps (including Supply Chain Management), the specifically designed interface for these tasks is Agent management.
Agent Management: A dedicated preview feature in Finance and Operations apps that allows users to discover, configure, and manage autonomous AI-powered agents.
Incorrect:
[Not B]
Copilot Studio: While this is the platform used to build and customize agents and track detailed analytics (like thumbs-up/down feedback), it is a standalone low-code tool rather than the primary discovery pane inside the SCM interface.
[Not C]
Lifecycle Services (LCS): Primarily used for environment management, deployments, and updates rather than the day-to-day discovery of specific AI agent templates.
[Not D]
Immersive Home: Typically refers to a broader Microsoft 365 or entry-level experience, not the specialized ERP agent management portal.
Scenario:
Prebuilt AI Agent
The CTO has NOT yet selected which prebuilt AI 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.
The CTO wants to track user feedback on the quality of the AI agent responses during user interactions with the agents. Consistently poor feedback will trigger an escalated reengineering discussion.
Reference:
https://learn.microsoft.com/en-us/dynamics365/copilot/ai-get-started
NEW QUESTION # 32
A company uses Microsoft Dynamics 365 Finance to manage accounts payable.
You are designing an AI invoice processing solution.
You need to recommend the prerequisites to configure a prebuilt copilot for accounts payable.
What should you recommend?
Answer: C
Explanation:
Users must be assigned the Finance and Operations AI and AIB Roles in the Dataverse environment.
Note:
To configure the prebuilt Copilot for Accounts Payable in Microsoft Dynamics 365 Finance, you must satisfy several foundational and technical requirements.
1. System & Environment Prerequisites
2. Technical Configuration & Data Settings
3. Licensing & Security Roles
Licenses
*-> Dataverse Roles: Users must be assigned the Finance and Operations AI and AIB Roles in the Dataverse environment.
4. Feature Activation
Reference:
https://learn.microsoft.com/en-us/dynamics365/finance/accounts-payable/invoice-capture- overview
NEW QUESTION # 33
A company has an Azure environment that supports multiple business units.
The company plans to implement an Al solution that will perform sentiment analysis on customer product reviews. You need to evaluate the potential cost of the solution to support return on Al investment (ROAI) analysis. What should you use?
Answer: A
Explanation:
The requirement is to evaluate the potential cost of an AI solution before deployment so the company can support a return on AI investment (ROAI) analysis .
The correct choice is C. Azure pricing calculator .
Why C is correct:
The Azure pricing calculator is used to estimate the expected cost of Azure services before implementation.
For an AI solution such as sentiment analysis on customer product reviews , it helps estimate likely spending across the relevant Azure components and usage patterns. That makes it the right tool for cost forecasting as part of ROAI planning.
Why the other options are not correct:
* A. Total Cost of Ownership (TCO) Calculator TCO is mainly used to compare broader infrastructure costs, often for migration or environment-level cost comparisons, not detailed service pricing estimation for a planned Azure AI solution.
* B. Azure Reservations Reservations are a purchasing/discount mechanism, not the primary tool for estimating potential solution cost.
* D. Azure Monitor Azure Monitor tracks operational metrics and runtime health after deployment; it is not used for pre-deployment cost estimation.
NEW QUESTION # 34
A company has a Microsoft Power Platform solution that contains the following components:
- Microsoft Dataverse tables
- A Microsoft Power BI workspace named WS1
- A canvas app named App1 that uses Dataverse
- A Power BI semantic model that connects to Dataverse by using
DirectQuery
You plan to use generative AI to provide answers to queries based on a subset of corporate data.
You need to ensure that the data is available as a grounding data source for AI systems.
What should you do?
Answer: D
Explanation:
Consider using tags to label semantic models as ready for Copilot consumption. This method helps data consumers identify models that they can use with Copilot and expect better results.
Alternatively, consider the readiness of a semantic model for use with Copilot as a criteria for its endorsement to promoted or even certified status.
Reference:
https://learn.microsoft.com/en-us/power-bi/create-reports/copilot-semantic-models
NEW QUESTION # 35
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