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NEW QUESTION # 44
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 Microsoft Dynamics 365 Sales environment that has Microsoft Copilot enabled.
You need to customize Copilot by tailoring how opportunity summaries are generated or how they are presented to users.
Solution: You configure AI Builder lead scoring models to influence opportunity summaries.
Does this meet the goal?
Answer: A
Explanation:
Correct:
* You add fields to the opportunity summary.
Incorrect:
* You build Microsoft Power Automate flows to trigger customized Copilot summaries.
* You configure AI Builder lead scoring models to influence opportunity summaries.
Note:
To customize Microsoft Copilot opportunity summaries and incorporate AI Builder lead scoring data, you must configure the specific fields Copilot uses to ground its generative AI outputs.
By default, Copilot for Sales generates summaries using a set of predefined fields. To "influence" these summaries with scoring data, you need to add the predictive score and grade fields to the Opportunity summary configuration.
Step-by-Step Configuration
Switch Area: In the Sales Hub app, select the Change area menu in the bottom-left corner and choose App Settings.
Navigate to Copilot: Under General Settings, select Copilot.
Select Entity: Choose the Opportunities tab.
Add Fields:
Click Add fields.
Select the checkboxes for the fields you want to include.
You can select out-of-the-box, custom, and related table fields.
Save: Click Add and then Save your changes to update the summary configuration.
Reference:
https://learn.microsoft.com/en-us/dynamics365/sales/copilot-configure-summary-fields
NEW QUESTION # 45
A company has Microsoft Power Platform development staging, and production environments. Each environment has its own Microsoft Dataverse tables and Azure Al Search index.
You are designing an application lifecycle management (ALM) process to deploy a Microsoft Copilot Studio agent between the environments.
The company has a Copilot Studio agent named Agent! in development. Agent1 uses the following grounding data sources:
* A Dataverse table named CustomerOrders
* An Azure Al Search index named customer-knowledge
You need to deploy Agent1 to production. The solution must ensure that the agent uses the production grounding data sources, minimizes downtime, and handles credentials and endpoints securely.
What should you include in the deployment package solution, and what should you reconfigure after the deployment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
In a proper ALM deployment for Microsoft Copilot Studio across development, staging, and production , you should package the agent in a way that is portable across environments while avoiding hardcoded endpoints, indexes, table targets, or credentials.
Here, Agent1 uses:
* a Dataverse table: CustomerOrders
* an Azure AI Search index: customer-knowledge
Because each environment has its own Dataverse tables and Azure AI Search index, the deployment package should not carry over the development environment's live connections as fixed production settings. Instead, it should carry the agent and the references needed so the target environment can bind to its own production resources.
That is why the correct recommendation is:
* Deployment package: Agent1 and references to the data sources
* After deployment: Reconfigure the environment variables
Why this is correct:
* Environment variables are the standard ALM-friendly way to externalize settings like:
* endpoints
* index names
* table references
* connection-related values
* This supports secure handling of credentials and endpoints
* It also helps minimize downtime , because production values can be switched cleanly after import without rebuilding the agent Why the other choices are weaker:
* Agent1 only would omit needed source references
* The data sources only would not deploy the actual agent
* Agent1 and the data source connections risks carrying environment-specific connection bindings
* Agent1, the data sources, and the data source connections is too tightly coupled to the source environment and is not the best ALM design for secure cross-environment deployment
* Reconfiguring only Dataverse or only Azure AI Search is incomplete because both can vary by environment
* Reconfiguring Agent1 configuration is broader and less precise than using environment variables
NEW QUESTION # 46
You are designing an Al business solution that contains the following components:
* A Microsoft Power Automate workflow
* A Microsoft Copilot Studio agent
* A Microsoft Dataverse database
* A Microsoft Power Apps app
As part of the application lifecycle management (ALM) process, you plan to package the components, so that they can be deployed to other environments as a group. You need to recommend a solution that supports versioning, dependencies, and deployments. What should you include m the recommendation?
Answer: B
NEW QUESTION # 47
You are evaluating a Microsoft Copilot Studio agent that supports Microsoft Dynamics 365 Customer Service representatives.
You need to recommend a testing solution that meets the following requirements:
- Evaluates agent effectiveness during active sessions
- Validates whether the agent delivers accurate and helpful responses
- Provides measurable, actionable insights for continuous improvement
What should you recommend?
Answer: A
Explanation:
To establish a testing and evaluation setup for your Microsoft Copilot Studio agent within Dynamics 365 Customer Service, you should leverage specialized AI-driven evaluation agents and integrated analytics dashboards.
1. Evaluate Effectiveness and Accuracy
Use the Quality Evaluation Agent in Dynamics 365 to automate the assessment of agent performance during and after active sessions.
2. Track Measurable Insights with Dashboards
Utilize the built-in and customizable dashboards to monitor key performance indicators (KPIs) like resolution and deflection.
3. Ensure Consistency with Agent Scripts
To maintain uniform and company-endorsed communication, implement Agent Scripts within the Customer Service Admin center.
Reference:
https://learn.microsoft.com/en-us/dynamics365/contact-center/administer/manage-quality- evaluation-agent
NEW QUESTION # 48
A company plans to deploy a Microsoft Copilot Studio agent to enhance customer support.
The company stores customer data across ServiceNow, Microsoft Dynamics 365 Finance, Dynamics 365 Supply Chain Management, and Excel files in SharePoint Online.
You need to recommend a solution to ensure that the agent can deliver accurate and timely responses.
What should you recommend?
Answer: C
Explanation:
Microsoft Power Platform connectors are the best fit because Copilot Studio agents can use connectors to reach systems such as ServiceNow, Dynamics 365, and SharePoint-backed content, which helps the agent respond using the most current enterprise data.
Connectors let the agent call external systems and retrieve live data rather than relying on a static indexed copy, which is important for both accuracy and timeliness. Microsoft's documentation explicitly includes Microsoft services like SharePoint and Dynamics 365 among supported connector scenarios, and ServiceNow is also a common integration target for Copilot Studio agents.
Reference:
https://learn.microsoft.com/en-us/microsoft-365/copilot/extensibility/overview-copilot-connector
https://learn.microsoft.com/en-us/microsoft-copilot-studio/customer-copilot-servicenow
https://learn.microsoft.com/en-us/microsoft-copilot-studio/advanced-connectors
NEW QUESTION # 49
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