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NEW QUESTION # 68
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: D
Explanation:
* 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 # 69
Hotspot Question
You are designing a testing solution for a Microsoft Copilot Studio agent that integrates with Microsoft Dynamics 365 Customer Service and Dynamics 365 Sales.
You need to design end-to-end scenarios to test the agent's ability to perform the following actions:
- Coordinate tasks and data interactions across both Dynamics 365 apps.
- Interpret user input and provide contextually relevant outputs.
Which test scenario and metric should you include in the design? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Run task-based scenarios that involve both apps
Test scenario
Task-Based Testing Scenarios
Run these end-to-end scenarios to verify the agent's ability to interpret context and coordinate data:
Scenario 1: Cross-Sell Opportunity Discovery
Task: While resolving a support case in Customer Service, ask the agent: "Are there any active sales opportunities for this account?".
Success Criteria: The agent retrieves the relevant Opportunity from Sales, summarizes it, and suggests a follow-up action for the sales team.
Scenario 2: Integrated Case/Lead Creation
Task: A user mentions a new product interest during a support chat. Command the agent:
"Create a lead in Sales based on this support conversation".
Success Criteria: The agent parses the conversation history and creates a Lead record in Sales with the correct customer context.
Scenario 3: Proactive Account Health Check
Task: Before a sales meeting, ask: "Summarize recent support issues for this account".
Success Criteria: The agent identifies open tickets in Customer Service and provides a summary to the Sales professional to prevent walking into a "blind" meeting.
Box 2: Track the successful completion of cross-app tasks
Metric
Key Metrics for Success
Track these specific metrics in the Copilot Studio Analytics tab or the Power Platform Admin Center:
*-> Resolution Rate (Cross-App): The percentage of sessions where the agent successfully completed a task requiring data from both apps without manual intervention.
Deflection Rate: Reduction in human handoffs for tasks that previously required an agent to switch manually between Sales and Service hubs.
Task Success Threshold: Define a minimum quality score for LLM-based responses to ensure the context provided from the "other" app is accurate.
Agent Assisted Hours Gained: Measure the time saved by the agent performing these cross-app queries versus a human doing so manually.
Reference:
https://walkingtree.tech/dynamics-365-agents-with-microsoft-copilot-studio
https://learn.microsoft.com/en-us/power-platform/admin/monitoring/monitor-copilot-studio
NEW QUESTION # 70
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: B
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 # 71
Hotspot Question
You are designing an AI strategy for Microsoft Dynamics 365 finance and operations apps. You are evaluating the use of Microsoft Copilot Studio to provide in-app help and guidance based on generative AI general knowledge.
You need to recommend which knowledge sources to include in the generative help and guidance agent. The solution must minimize the risk of generating inaccurate responses.
What should you recommend? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Must be uploaded to the agent
Custom knowledge sources
Box 2: Must be enabled for the agent
AI general knowledge
To implement a generative AI agent for in-app help in Dynamics 365 Finance and Operations while minimizing inaccuracies, you must configure the agent in Microsoft Copilot Studio by uploading specific knowledge sources and enabling general AI knowledge.
1. Upload Custom Knowledge Sources
To ensure the agent provides accurate, organization-specific guidance, upload your internal documentation directly to the agent
2. Enable General AI Knowledge
To allow the agent to use its own broad generative AI knowledge for general inquiries:
Open Microsoft Copilot Studio and select the Dataverse environment linked to your Finance and Operations apps.
Navigate to Agents and open the specific agent named Copilot for finance and operations apps.
On the Overview tab, find the Knowledge section and set Allow the AI to use its own general knowledge to Enabled.
Publish the changes to make this capability available in the D365 F&O sidecar.
Reference:
https://arpideas.com/en/articles/knowledge-hub/building-smart-ai-agents-with-microsoft-copilot- studio
NEW QUESTION # 72
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 GitHub 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 # 73
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