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NEW QUESTION # 99
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: D
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 # 100
A manufacturing company wants to deploy an agent that will automate supplier invoice processing.
You are designing a solution to evaluate the financial implications of the deployment. The company is especially concerned about budget overruns.
You need to ensure that the solution considers the total cost of ownership (TCO), the expected savings from using automation, and whether to extend the existing Al capabilities.
What should you include in the design?
Answer: A
Explanation:
The question asks for a design element that evaluates:
total cost of ownership (TCO)
expected savings from automation
whether to extend existing AI capabilities
Those are classic investment-evaluation considerations, so the best answer is B. a return on AI investment (ROAI) analysis.
Why B is correct:
ROAI analysis compares the financial benefits of the AI solution against its full costs It incorporates deployment cost, operating cost, maintenance, scaling, and savings from automation It is the right framework when the company is specifically worried about budget overruns and wants a business case for expansion or extension
NEW QUESTION # 101
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 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
Explanation:
Correct:
* You recommend Microsoft Copilot Studio.
Copilot Studio is specifically designed to create customizable AI agents that automate business workflows with minimal coding.
Generative AI Answers: It uses "Generative Answers" to scan your specific data (websites, files, or SharePoint) to answer customer-related questions instantly.
Analytics Dashboard: It includes built-in analytics to track resolution rates, customer satisfaction (CSAT), and overall AI performance.
Customer Demographics: You can configure the agent to extract specific entities (like age, location, or industry) from conversations to build demographic profiles.' Low-Code/No-Code: It minimizes custom development by providing a visual interface to build logic, rather than writing raw code.
Incorrect:
* You recommend GitHub Copilot.
* You recommend Microsoft Security Copilot.
Reference:
https://www.phdata.io/blog/agentic-ais-and-introduction-to-copilot/
NEW QUESTION # 102
A company has an Azure environment that supports multiple business units.
The company plans to implement an AI solution that will perform sentiment analysis on customer product reviews.
You need to evaluate the potential cost of the solution to support return on AI investment (ROAI) analysis.
What should you use?
Answer: B
Explanation:
Correct:
* Azure pricing calculator (Best choice)
The best tool to evaluate the potential cost of a new AI solution to support ROI analysis is the Azure pricing calculator.
Why Azure Pricing Calculator is BestProactive Estimation: It is specifically designed to estimate the costs of Azure services before they are deployed.
Granular Planning: It allows you to select specific services (e.g., Azure AI Language, Cognitive Services, Azure Machine Learning), define usage patterns, regions, and tiers to create a detailed cost estimate.
Scenario Comparison: You can create different scenarios (e.g., comparing different language models or usage volumes) to estimate the impact on ROAI Comparison of Tools Azure Pricing Calculator: Estimates costs for new, un-deployed projects. (Best Choice).
Total Cost of Ownership (TCO) Calculator: Compares on-premises infrastructure costs against Azure, typically used for large-scale migration strategies, not specific AI service modeling.Cost Management + Billing: Monitors and analyzes actual, real-time spending on already deployed resources. For a complex AI solution involvin
* Total Cost of Ownership (TCO) Calculator (Second best choice)
While Cost Management + Billing is essential for tracking actual spend once a solution is running, the TCO Calculator is specifically designed for the pre-implementation phase to support Return on AI Investment (ROAI) analysis. It allows you to estimate and compare the potential costs of moving a workload to Azure-including labor, networking, and storage-against an existing process or alternative solution.
* Cost Management + Billing (Third best)
Azure pricing calculator and Total Cost of Ownership (TCO) Calculator are both better than Cost Management + Billing, as they evaluate the potential cost and support a Return on AI Investment (ROAI) analysis before the solution is built, you need to estimate future expenses based on expected usage. Cost Management + Billing does post-deployment tracking.
A good tool still for this scenario is Cost Management + Billing. Cost Management + Billing allows you to break down and evaluate costs across many business units using tags and scope filtering.
This granular data is essential for calculating the Return on AI Investment (ROAI) for specific departments or the entire organization.
Incorrect:
* Azure Monitor
* Azure Reservations
* Azure savings plans
Is used to reduce costs for compute services via long-term commitment. It is a way to lower your bill, but not a tool for evaluating or reporting on investment performance.
* Microsoft Fabric SKU Estimator
Is used to estimate capacity needs for Fabric-specific data projects. It is eseful only if your sentiment analysis solution is built specifically on the Microsoft Fabric platform.
Note:
* Azure pricing calculator
To evaluate the potential cost of an AI solution for sentiment analysis on Azure, you should use the Azure Pricing Calculator.This tool allows you to estimate the monthly and annual costs of the specific services required for your solution-such as Azure AI Language (which provides sentiment analysis) or Azure OpenAI Service-based on your expected volume of feedback data.
* Total Cost of Ownership (TCO) Calculator
To evaluate the cost of an Azure sentiment analysis solution and support a Return on AI Investment (ROAI) analysis for multiple business units, you should use the Azure Total Cost of Ownership (TCO) Calculator.
The TCO Calculator is essential for calculating the financial impact of migrating or implementing a new solution compared to your existing infrastructure.
Step-by-Step: Using the TCO Calculator for ROAI
To perform a comprehensive ROAI analysis, follow these steps to capture the full scope of ownership:
1. Define Your Current Workload
Enter details about your existing infrastructure that the AI solution might replace or augment.
2. Adjust Assumptions
Tailor the calculator to your business environment by adjusting key metrics.
3. Review the TCO Report
The calculator generates a detailed report comparing your current costs against Azure.
Reference:
https://www.synextra.co.uk/knowledge-base/azure-tco-vs-pricing-calculator
https://www.dev4side.com/en/blog/azure-ai
NEW QUESTION # 103
A company extends Copilot in Microsoft Dynamics 365 Customer Service.
You need to recommend an automated application lifecycle management (ALM) process so that the Copilot components can be safely developed, tested, and promoted to production.
Which two actions should you include in the ALM process? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
Comprehensive and Detailed Explanation From Agentic AI Business Solutions Topics:
The correct answers are C. Use Microsoft Power Platform pipelines and D. Include the components in a solution .
This question is about implementing a proper ALM process for Copilot components in Microsoft Dynamics
365 Customer Service so they can be:
* developed safely
* tested consistently
* promoted to production in a controlled way
That directly aligns with standard Power Platform ALM practices.
Why D. Include the components in a solution is correct
In Power Platform and Copilot-related environments, components should be packaged into a solution so they can be managed and transported across environments in a structured way.
Including the components in a solution enables:
* dependency tracking
* packaging of related assets together
* environment-to-environment movement
* better governance and change control
* cleaner release management
From a business solutions architecture perspective, this is foundational. Without solutions, Copilot components are much harder to move consistently and govern properly across dev, test, and production.
Why C. Use Microsoft Power Platform pipelines is correct
Once the components are organized into a solution, Microsoft Power Platform pipelines provide the automated mechanism to promote them across environments.
Pipelines help with:
* standardized deployments
* safe promotion from development to test to production
* reduced manual deployment errors
* traceability of releases
* repeatable and governed ALM execution
This is exactly what the question is asking for: an automated ALM process .
From an agentic AI business solutions perspective, automation in deployment is especially important because Copilot components can influence business workflows, customer interactions, and service operations. That means changes must be promoted in a disciplined and auditable way.
Why the other options are incorrect
A). Use an unmanaged solution in production
This is not recommended as a best practice for controlled enterprise production ALM. Production deployments should be governed and managed carefully, and unmanaged solutions are not the preferred pattern for that.
B). Rebuild the agents in each environment
This is inefficient, error-prone, and not an ALM best practice. It destroys consistency and traceability because each environment may end up with slight differences.
E). Store the agent transcripts in source control
Transcripts may be useful for analysis or audit in some contexts, but they are not a core ALM action for safely developing, testing, and promoting Copilot components.
Expert reasoning
For Microsoft business application ALM questions, the best-practice pattern is usually:
* package artifacts in a solution
* move them with Power Platform pipelines
That gives the cleanest answer for automated, governed promotion across environments.
NEW QUESTION # 104
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