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| Section | Objectives |
|---|---|
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors - Using generative AI and prompt engineering in Copilot Studio |
| Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - Monitoring performance and analytics |
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NEW QUESTION # 106
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
Does the solution meet the goal?
Answer: A
Explanation:
Correct:
* Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
To fulfill all the requirements in the best way, you must configure the custom instructions directly inside the specific Generative Answers node properties within that targeted topic.
By default, editing custom instructions at the global agent level or the Conversational boosting system topic applies globally. To scope formatting changes to only one topic while keeping configured data sources and security intact, you must override the instructions at the node level.
Incorrect:
* Add instructions in the custom prompt tool to restrict connector access during runtime.
* Configure the custom prompt tool at the topic level so that other topics are not affected.
* Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
NEW QUESTION # 107
A company needs to ground an agent's answers in Copilot Studio by using live enterprise data from a supported system through a Microsoft Power Platform connector.
To meet the business requirements, the builder must:
* Authenticate by using a valid connection.
* Add the connector as a real-time knowledge source.
* Select the tables used for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
The process begins from the agent's Overview or Knowledge page, or from the properties of a generative answers node, by selecting Add knowledge . This opens the catalog of supported knowledge-source types.
The builder must then select the required Power Platform connector from the available real-time connectors, using the advanced selections if the connector is not displayed in the featured list.
Authentication must occur before table selection because Copilot Studio needs an authorized connection to access the target system and discover its available schema. The builder signs in and either creates a new connection or reuses a valid existing connection. After selecting the target location and completing authentication, Copilot Studio presents the tables or entities available through that connection.
The builder then selects only the tables required for knowledge grounding. Limiting the selection improves relevance and reduces unnecessary exposure of enterprise data. After optionally supplying the knowledge- source name, description, synonyms, or glossary definitions, the builder selects Add to agent to complete the configuration.
This is a real-time knowledge integration: connector requests retrieve current data at runtime instead of treating the connector as a static uploaded document. Relevant study-guide topics are Connect to Microsoft Power Platform connectors , Configure advanced responses with custom knowledge sources , and Connect to enterprise knowledge sources . See Add Power Platform connectors as real-time knowledge .
NEW QUESTION # 108
A company is integrating an agent in Copilot Studio into a custom application by using the Microsoft 365 Agents SDK.
The company has the following requirements for the application:
The deployment workflow must follow a dependency driven sequence.
The agent must be published before configuration values are retrieved.
End-to-end validation must occur before production deployment.
You need to plan the deployment workflow to integrate the agent.
In which order should you perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 109
Hotspot Question
You are setting up an evaluation for an agent in Copilot Studio before expanding access to more users.
You must configure the evaluation so that the agent is tested by using prepared interactions rather than impromptu conversations.
The evaluation should provide the following functionality for users:
- An administrator updates a sensitive configuration value. The
administrator requires the change to take effect at runtime without
republishing the agent.
- A builder needs to confirm a configuration value but must not be able to modify it from Copilot Studio.
- An administrator updates a non-secret configuration value and
requires the updated value to be used by the published agent at
runtime.
You need to create a test set-based evaluation that supports consistent test runs for each scenario.
What should you configure for each scenario? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Secret environment variable
The correct configuration for updating a sensitive configuration value at runtime without having to republish the agent is a Secret environment variable.
Secret environment variables: Securely store secrets (like passwords, keys, or API tokens) within the environment and reference them directly inside the agent. These can be updated dynamically at runtime without needing to republish the bot, as they are evaluated in real-time.
Incorrect:
Only in production / Only after publishing: These configurations require a full publishing cycle to take effect. This means that any adjustments to bot topics, node logic, or regular environment variables require pushing the latest content updates out to end-users.
Box 2: Managed environment variable
A managed environment variable is the specific configuration needed. It enables makers to reference or confirm configuration values without permitting modifications directly within the studio interface, protecting agent integrity. Additionally, you can configure your testing using the Agent Evaluation in Copilot Studio feature.
Box 3: String environment variable
The specific configuration that allows an administrator to update a non-secret configuration value and requires the updated value to be used by the published agent at runtime is a string environment variable.
In Microsoft Copilot Studio, environment variables are used to manage configuration values dynamically. When an administrator updates a non-secret string environment variable, the change takes effect at runtime without requiring the agent to be rebuilt or modified in the authoring canvas.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-overview
NEW QUESTION # 110
A company is building an agent that uses an agent flow to retrieve data from an external system and return structured output.
The company needs to create a flow that the agent can invoke to process requests and return results. To support this business need, the flow must meet the following requirements:
Accept parameters from the agent.
Execute an action to retrieve data from the database.
Ensure the agent receives the relevant output information.
Answer:
Explanation:
NEW QUESTION # 111
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