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| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions - Selecting Copilot Studio capabilities and architecture approach |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs |
| Build and Configure AI Agents in Copilot Studio | - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio - Configuring actions, plugins, and connectors |
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Publishing and deploying copilots - Iterative improvement and lifecycle management |
| Governance, Security, and Compliance | - Data protection and responsible AI practices - Environment management in Power Platform - Managing access control and authentication |
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NEW QUESTION # 72
An agent needs to call an external REST API that isn't available as a pre-built connector, and the API requires OAuth 2.0 authentication. What should you create?
Answer: C
Explanation:
A custom connector lets you define the API's operations and configure OAuth 2.0 so Copilot Studio can securely authenticate and call the endpoint as a tool.
NEW QUESTION # 73
A team deploys Copilot Studio solutions by using Power Platform Pipelines.
You must configure a deployment strategy that meets the following requirements:
Ensure that the solutions deploy in dev, test, and production environments in order.
Identify missing connection references or environment variables before the deployment process begins.
Manage all pipeline stages and security from a single, unified location for all linked environments.
You need to configure the pipeline to meet the requirements.
Answer:
Explanation:
NEW QUESTION # 74
A company requires an agent in Copilot Studio to answer questions using content stored in a third-party knowledge base system and reuse that content for knowledge grounding.
The agent must ground answers using indexed enterprise knowledge from a non-Microsoft system.
You need to choose the correct integration approach.
What should you use?
Answer: A
Explanation:
Adding a Copilot connector is the correct approach to index and ground an agent using authorized non-Microsoft enterprise knowledge.
Integration and Configuration
Indexing data: Copilot connectors (formerly Microsoft Graph connectors) sync and index external data sources into Microsoft Graph.
Adding knowledge: Open your agent in Microsoft Copilot Studio, go to the Overview, Knowledge, or Properties page, and select Add knowledge.
Selecting the source: Choose your configured Copilot connector from the dialog menu and select Add to agent.
Key Benefits
Security: Respects source-level permissions so users only see content they are authorized to access.
Grounding: Reduces AI hallucinations by anchoring replies directly in trusted business data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors
NEW QUESTION # 75
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 team is implementing ALM for agents in Copilot Studio across multiple environments.
The team requires a consistent way to manage and transport agent assets.
You need to recommend a solution that supports creation and use of ALM scenarios for agents in Copilot Studio.
Solution: Publishing an agent to a channel is the required ALM container for transporting agents between environments.
Does the solution meet the goal?
Answer: B
Explanation:
Correct:
* Builders can change environment variable values directly in Copilot Studio to complete ALM configuration without administrative tools.
builders can change environment variable values directly during the solution import process to complete Application Lifecycle Management (ALM) configurations.
Native ALM in Copilot StudioMicrosoft Copilot Studio embeds native solution management capabilities directly within the app authoring environment. This design minimizes the reliance on standalone administrative portals or complex external tools for standard deployment tasks.
The Import Process: When you transport your agent by importing its containing solution into a target downstream environment (such as Test or Production), Copilot Studio prompts you for environment-specific parameters.
Modifying Values: Builders can update the "current value" of environment variables right inside the import wizard panel. Alternatively, you can let them fall back to pre-defined default parameters.
Supported Scenarios: This inline editing mechanism is commonly used to dynamically update variables tied to external resources, such as changing SharePoint URLs or public website links used for generative AI knowledge grounding between sandbox and live states.
Incorrect:
* Publishing an agent to a channel is the required ALM container for transporting agents between environments.
* Publishing an agent to a channel is not the required or correct ALM container for transporting agents between environments.
* To export, import, and manage agents between environments, you need to create and use a custom solution.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/guidance/alm
NEW QUESTION # 76
A regulated company requires that all agent conversations be logged, and that administrators can review transcripts for compliance auditing. Which two features should you configure? (Choose two.)
Answer: B,C
Explanation:
Integrating with Application Insights and enabling analytics with transcript retention provides the auditability and monitoring regulated environments require.
NEW QUESTION # 77
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