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| Section | Objectives |
|---|---|
| Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Monitoring performance and analytics - Iterative improvement and lifecycle management |
| 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 |
| Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components |
| Build and Configure AI Agents in Copilot Studio | - Configuring actions, plugins, and connectors - Creating and configuring copilots and topics - Using generative AI and prompt engineering in Copilot Studio |
| Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
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NEW QUESTION # 120
An agent calls a flow to a database. The agent requires structured output values to be returned. The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow. What should you do?
Answer: E
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The first configuration check is the contract between the agent and the flow. Input and output parameter definitions must agree on name, data type, required status, and mapping. A flow can complete successfully yet return an empty value to the agent if the response field is not mapped to the declared output or if the agent expects a different type. Validating the parameter definitions therefore addresses the actual data-exchange requirement. Reviewing run history is useful for diagnosis, but it does not correct a mismatched contract by itself. Changing the trigger schema or adding Parse JSON might be necessary in a specific implementation, yet neither should be done before confirming what the caller sends and what the flow returns. Republishing cannot repair an incorrect mapping. The builder should test the flow directly with known values, inspect each action output, verify the final response action, and then test from the agent. Optional and null fields should be handled explicitly, and sensitive outputs should be minimized and protected in logs. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Add input and output parameters.
NEW QUESTION # 121
You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources.
You run the evaluation and review the following result for one test case:
- Expected response: Digital products are non-refundable after
download.
- Actual response: Digital products cannot be refunded once downloaded.
- Result: Pass
- Score: 0.92
- Reasoning: The actual response semantically matches the expected
response.
- Knowledge sources used: RefundPolicy_KB
- Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer: D,E
Explanation:
No additional corrective action is required for this specific test case. The evaluation shows a successful outcome because the actual response semantically matches the expected response, achieved a high score (0.92), and cited the correct knowledge source without unnecessary tool invocations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/analytics-agent-evaluation-edit
NEW QUESTION # 122
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:
Explanation:
Based on Microsoft's documented dependencies, the technically complete sequence is:
* Publish the agent.
* Configure and enable the agent's target integration channel.
* Retrieve current agent configuration values.
* Implement the Microsoft 365 Agents SDK in the app using the agent configuration.
* Validate the end-to-end conversation workflow in a test environment.
* Deploy the web app to production.
Microsoft states that an agent must be published before channels are configured. The Web app or Native app channel then provides the Agents SDK connection string, after which the SDK can be implemented and tested. Microsoft Learn
NEW QUESTION # 123
You need to ensure that performance-related questions are handled in accordance with Fabrikam Inc.'s defined architecture and business requirements Which capability should Operations Concierge use?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A Fabric Data Agent is the capability designed for questions that must be answered from governed analytical data. Fabrikam's backlog, SLA-risk, parts-shortage, and dispatch-delay measures already reside behind a Fabric semantic model, so delegating these requests to the data agent preserves the business definitions, relationships, and security applied in Fabric. The result can be returned in a structured form suitable for weekly operational review rather than being estimated from general model knowledge. A Foundry agent is already assigned to summarization and classification of long-form text; it is not the authoritative source for operational KPIs. An MCP server is appropriate when the user must perform a transaction, such as creating a parts request, but the question asks for performance information rather than an update. Azure AI Search supports document retrieval for policies and procedures, not calculation over the Fabric semantic model. The primary agent's description for the Fabric specialist should explicitly mention the supported metrics so generative orchestration consistently delegates those requests instead of attempting an unsupported generative answer. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Integrate a Fabric data agent.
NEW QUESTION # 124
Drag and Drop Question
A company uses a supported Power Platform connector to provide real-time access to enterprise records for knowledge grounding in an agent in Copilot Studio.
To meet the business needs, the knowledge source must provide the following functionality:
- Avoid copying enterprise data into an index.
- Keep source-system access controls enforced.
- Access data by calling the system at runtime.
You need to configure the connector knowledge source.
What should you configure 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:
Box 1: Use a real-time connector
Use a real-time connector to meet this requirement.
Power Platform connectors configured as real-time knowledge sources execute queries live at runtime under the user's connection and identity. Because the data is retrieved on demand directly from the source system, no data movement or replication takes place, completely avoiding copying enterprise data into a Microsoft 365 or Graph index.
Box 2: Use existing permissions
To meet the requirement of keeping source-system access controls enforced while using a supported Power Platform connector for real-time knowledge grounding in Microsoft Copilot Studio, you should use existing permissions.
Delegated Context: When structured Power Platform connectors are integrated as real-time knowledge sources, they execute queries dynamically in the security context of the user interacting with the agent.
Access Enforcement: By relying on use existing permissions, the underlying data source maps the authenticated user's credentials (such as Microsoft Entra ID) to ensure they only retrieve and see records they are explicitly authorized to view.
Computer Information Agency
Box 3: Retrieve data without indexing
To meet the requirement of accessing real-time data by calling the system at runtime using a Power Platform connector, you should retrieve data without indexing.
When you use a Power Platform connector for knowledge grounding in Copilot Studio, it functions via dynamic runtime queries:
No Pre-indexing Required: Unlike static knowledge sources, connectors fetch live records directly from the source system at the exact moment the user asks a question.
Real-Time Accuracy: Avoiding an external search index ensures that the AI agent always accesses the most current, up-to-the-minute enterprise data.
Reference:
https://suparnatechbasket.wordpress.com/2025/09/15/copilotstudio-realtime-connector-vs-graphconnector/
NEW QUESTION # 125
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