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| Section | Objectives |
|---|---|
| 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 |
| Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior |
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Monitoring performance and analytics - Publishing and deploying copilots |
| Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration |
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NEW QUESTION # 100
A company is configuring an agent flow that uses multiple action types to perform operations and process data.
The flow must be configured as follows:
An HTTP action must connect to an external service.
A data action must reference the correct data to process.
You need to configure the settings for each action type.
Answer:
Explanation:
NEW QUESTION # 101
You are designing an agent that must reason over multiple tools and decide autonomously which tool to invoke based on user intent, rather than following a fixed topic sequence. Which Copilot Studio capability should you use?
Answer: C
Explanation:
Generative orchestration lets the agent dynamically select and chain topics, tools, and knowledge sources at runtime based on reasoning over the user's request, instead of relying on rigid, pre- authored conversation paths.
NEW QUESTION # 102
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.
Answer:
Explanation:
Explanation:
Block unsafe content # Configure the content-filtering/moderation level for AI-generated content; Diagnose why a response was filtered # Review Azure Application Insights telemetry; Identify the triggering user input # Review conversation transcripts.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Content moderation is the preventive control that evaluates generative input and output for harmful categories and blocks responses that violate the configured threshold. A stricter level reduces the likelihood that unsafe material is returned, although it may also increase false positives and reduce answer coverage. Application Insights provides operational telemetry for investigating filtered or failed behavior when appropriate logging is enabled, including events and message details subject to the organization ' s privacy settings. Conversation transcripts are the direct source for identifying which user utterance preceded the filter decision; connector run history would only be relevant if a connector failed and cannot reveal the original conversational input in this scenario. Logging must be configured carefully because prompts and responses can contain personal or sensitive information. Access to telemetry and transcripts should be restricted, retention should follow policy, and sensitive activity properties should not be enabled casually. The team should test both user prompts and model-generated responses, document expected safety behavior, and preserve a human review and escalation path for legitimate requests that are incorrectly blocked. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan responsible AI strategy; Evaluate security and governance considerations.
NEW QUESTION # 103
Drag and Drop Question
A company wants to extend an agent in Copilot Studio by calling an external REST API to retrieve and update data.
To meet the business needs, the REST API must be added following a correct dependency order.
You need to add a REST API to the agent so it can be invoked during conversations.
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:
Step 1: Add the REST API tool.
In Copilot Studio you start from Tools → Add a tool → New tool → REST API. Nothing else can be configured until the tool object exists in the agent.
Step 2: Configure the API endpoint details.
Supply the base URL, path, HTTP method (GET/POST for "retrieve and update data"), parameters, and request/response schema. This defines what is being called and must come before securing it.
Step 3: Configure authentication for the API
Choose the auth type (API key, OAuth 2.0, none) and its connection details. Auth is bound to the defined endpoint, so it logically follows endpoint definition - you can't attach credentials to a call that hasn't been described yet.
Step 4: Test the API configuration
Validation is always last. Testing requires a complete, authenticated request; only after the tool succeeds in test do you add it to a topic or let the agent invoke it generatively.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
https://learn.microsoft.com/en-us/training/modules/take-action-external-systems-connector-rest-api-tools-copilot-studio/5-add-rest-api-tool
NEW QUESTION # 104
You need to configure the agent in Copilot Studio to use internal and external partner knowledge sources to answer user questions about the airline services.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
* A. Use a Microsoft Graph connector to index the partner's travel advisory content. Microsoft 365 Copilot connectors-formerly called Microsoft Graph connectors-index non-Microsoft enterprise content into Microsoft Graph, making it available for semantic knowledge grounding and citations.
Microsoft Learn: Copilot connectors
* D. Add the internal policy documents as a knowledge source. The SharePoint PDFs and policy documents should be connected as agent knowledge so generative answers can retrieve and summarize the relevant content. This is scalable and avoids manually maintaining document-specific topics.
Microsoft Learn: SharePoint knowledge sources
B violates the requirement to avoid manually authored Q & A topics. C could produce ungrounded responses from unapproved public sources and would not satisfy the airline's accuracy, security, or compliance requirements.
NEW QUESTION # 105
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