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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Build and extend agents in Copilot Studio | 40–45% | - Integrate with services and systems
|
| Topic 2: Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Topic 3: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
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NEW QUESTION # 50
You need to connect Operations Concierge to Fabrikam Inc. ' s Azure AI Search knowledge index while complying with security requirements.
Which configuration should you use for each requirement? To answer, move the appropriate configurations to the correct requirements You may use each configuration once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point
Answer:
Explanation:
Explanation:
Authenticated governed access # Select service-principal authentication; Required curated vector index
# Enter the Azure AI Search index name; Correct Azure AI Search service instance # Provide the Azure AI Search endpoint URL.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: An Azure AI Search connection needs three distinct pieces of configuration. The endpoint identifies the search-service instance that hosts Fabrikam ' s indexed documents. The index name then selects the specific vector index containing the curated policies and procedures. Authentication determines how Copilot Studio is authorized to query that service. Because the scenario requires governed application access rather than a maker ' s personal identity, the service-principal option is the appropriate selection from the choices provided. Enabling citations is useful after retrieval is configured, but it does not establish the service connection or select an index. Microsoft recommends creating Azure AI Search through the supported data-source connection experience rather than manually assembling an unsupported endpoint/key combination. Administrators should grant the service principal only the permissions needed for query operations, protect its credentials, and maintain separate configuration per environment. Testing should confirm that the intended index-not another index in the same service-is queried, that unauthorized content is excluded, and that policy responses cite material that actually supports the generated guidance. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources > Connect to Azure AI Search.
NEW QUESTION # 51
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
* Must retrieve the current balance of a customer account stored in Dataverse.
* Must retrieve the real-time shipping status of an order that updates throughout the day in Dynamics 365.
* Must answer questions based on the content of a static PDF policy document.
* Must provide a welcome message that does NOT depend on enterprise data.
Answer:
Explanation:
Explanation:
Current Dataverse balance # Connect to a Power Platform connector; Real-time Dynamics 365 shipping status # Connect to a Power Platform connector; Static PDF policy content # Upload the file to the agent ' s knowledge; Welcome message independent of enterprise data # Create a manual response in the topic.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The retrieval pattern should match the volatility and purpose of each source. Customer balances and shipping status are operational values that can change during the day, so the agent should query the systems through Power Platform connectors at runtime rather than rely on a static copy. The connector connection also preserves the applicable authentication and source-system controls. A fixed PDF policy is unstructured reference material; uploading it as agent knowledge allows generative retrieval over its contents without building a transactional integration.
The welcome message is deterministic presentation text and does not require any enterprise lookup, so a manual message in the topic is simpler and more reliable than a generative call. A generative answer without enterprise data would be inappropriate for balances or shipping status because it has no authoritative current value. This separation limits latency and security exposure, keeps dynamic information live, and uses knowledge grounding only where retrieval is actually needed. Each connector should be described precisely and tested under the intended user identity to ensure the returned records respect access permissions. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources; Add tools to agents.
NEW QUESTION # 52
An agent in Copilot Studio must retrieve real-time data from an external system that exposes a REST API.
The API returns structured JSON data and requires authentication.
The agent must call the API during conversations to fulfill user requests.
The agent must retrieve real-time data from the external system by calling an authenticated REST API during a conversation.
The solution must use a supported mechanism that executes the REST API call and the call must be explicitly configured to run at runtime.
You need to determine which approaches add the REST API to the agent.
Which two solutions meet the goal? Each correct answer is a complete solution.
NOTE: Each correct selection is worth one point.
Answer: E,F
Explanation:
[A] Configure an HTTP action and invoke it from a topic during the conversation.
This is a correct and supported solution.
You can fulfill this requirement directly within Microsoft Copilot Studio by configuring an HTTP Request node (HTTP action) inside a topic.
Real-Time Execution: The HTTP action is explicitly executed at runtime during the live conversation when the specific topic is triggered.
Native Authentication Support: The HTTP Request node allows you to securely pass authentication tokens, API keys, or custom credentials directly within the request headers.
Handles Structured JSON: The node natively supports standard REST methods (GET, POST, PATCH, PUT, DELETE) and can ingest structured JSON data, allowing you to parse and store the returned values into agent variables for use later in the conversation.
[C] Add the REST API as a tool and call it either by using a topic or agent instruction.
Depending on how your agent architecture is managed, you could also fulfill this requirement using these alternative methods:
*-> REST API Tools (OpenAPI Plugins): You can upload an OpenAPI specification directly into Copilot Studio to register the REST API as a native REST API tool/action.
* Power Automate Flows: You can invoke a Power Automate cloud flow from a topic, using the HTTP connector inside the flow to retrieve and pass back the JSON data.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/agent-extend-action-rest-api
NEW QUESTION # 53
Hotspot Question
You deploy an agent in Microsoft Copilot Studio that triggers a cloud flow to update customer records in Microsoft Dataverse.
You observe the following after deploying the agent:
- Several runs fail due to a temporary authentication issue.
- The flow continues to trigger and generate additional failed runs.
You must:
- Stop additional failed executions while troubleshooting.
- Process a failed execution after resolving the authentication issue.
- Validate if the most recent executions succeeded immediately after
resolution.
You need to use the appropriate monitoring and management actions to restore normal flow operation and validate successful execution.
Which action should you perform for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Disable the flow
The most appropriate action to address this specific issue is to disable the flow.
Immediate Stop: Turning off or disabling the flow completely prevents any new instances from triggering. This satisfies your urgent requirement to halt additional failed executions immediately while you troubleshoot.
Safe Troubleshooting: It pauses all activity without deleting or altering the internal logic of your automation, allowing you to safely fix the authentication token or connection issues.
Box 2: Resubmit the run
The best action to address this specific issue is to resubmit the run.
Efficiency: Resubmitting a failed run starts the cloud flow again from the exact same trigger point using the original data.
No Data Loss: It eliminates the need for the user or the Copilot Studio agent to manually recreate the request.
Targeted Fix: Since the root cause was a temporary authentication error that is now resolved, the original payload is valid and will now process successfully.
Box 3: Review the Activity history
In Microsoft Copilot Studio, the Activity history (specifically within the integrated Power Automate cloud flow management or the Copilot's topic run history) allows you to see the real-time execution status of individual runs. This is the only option that lets you immediately validate if the most recent executions succeeded right after resolving the authentication error.
Reference:
https://learn.microsoft.com/en-us/power-automate/fix-flow-failures
NEW QUESTION # 54
A company is configuring generative answers for an agent in Copilot Studio.
The agent must use Azure AI Search to retrieve enterprise content, and all responses must be generated by a Microsoft Foundry model.
The agent sometimes generates answers that are not grounded in Azure AI Search content. The company requires that the agent only generate responses when relevant indexed content is retrieved.
You need to configure the agent so that its generative answer behavior meets the organization's requirements.
What should you do?
Answer: C
Explanation:
Comprehensive and Detailed 150 to 250 words of Explanation From [Microsoft AB-620 study guide]: Azure AI Search must be configured as the authoritative retrieval source, with ungrounded or general-knowledge responses disabled. In the retrieval-augmented generation process, Copilot Studio first reformulates the user's question, searches the connected vector index, and supplies relevant results to the Microsoft Foundry-hosted model for response generation. Requiring grounding prevents the model from answering solely from its pretrained knowledge when Azure AI Search returns no sufficiently relevant content. In that situation, the agent should return no generated answer and follow its configured fallback or escalation behavior. Selecting a Foundry model alone does not enforce grounding because model selection controls the generation layer, not the retrieval requirement. Citations provide traceability but likewise do not prevent an unsupported answer. Uploading duplicate documents would introduce another knowledge store and undermine Azure AI Search as the controlled enterprise index. The Azure AI Search connection should identify the intended vector index and use semantic ranking where appropriate. Testing should confirm that valid queries return supported answers and citations, while out-of-scope queries produce no ungrounded response. Study Guide alignment: Integrate and extend agents in Copilot Studio → Connect to Azure AI Search; Integrate agents with Azure → Configure generative answers by using Azure AI Search with Foundry.
NEW QUESTION # 55
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