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| Section | Objectives |
|---|---|
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
| 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 | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Plan and Design Copilot Studio AI Agents | - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach - Requirements analysis for AI agent solutions |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs |
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NEW QUESTION # 73
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
Each evaluation case is reported as meeting or missing the expected response.
Some evaluation cases fail repeatedly across several runs.
Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Outcome of individual evaluation cases # Pass or fail status
* Behavior observed across repeated runs # Consistent outcomes
* Details presented in evaluation output # Expected and generated responses A recurring failure across several runs indicates a consistent pattern, not an intermittent result. However, evaluation results alone do not automatically establish the root cause or grant production approval; the failed cases still require investigation.
NEW QUESTION # 74
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 # 75
A team has deployed an agent in Copilot Studio and needs to evaluate whether the agent is meeting its intended goals before expanding usage to a broader audience.
The team must evaluate agent performance using a structured and repeatable approach that produces actionable insights.
You need to select and apply an appropriate evaluation method by performing the required actions in the correct order.
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:
1. Define success criteria and evaluation objectives; 2. Select evaluation methods and metrics aligned to the criteria; 3. Collect interaction data and evaluation signals; 4. Review results and identify improvement opportunities.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Evaluation starts with a definition of success because the business objective determines what should be measured. A policy agent might prioritize grounded accuracy and citations, while a transactional agent also needs tool-selection and completion measures. Once objectives and thresholds are defined, the team selects suitable methods and metrics, such as compare-meaning, exact match, keyword match, expected tool use, or a custom quality rubric. The test is then executed to collect responses, scores, resource usage, transcripts, and activity signals.
Only after evidence exists should reviewers interpret the results, isolate weak scenarios, and prioritize changes. Choosing metrics before defining success risks optimizing an irrelevant score; reviewing before collecting consistent evidence encourages anecdotal conclusions. Improvement should be iterative: change the knowledge source, instructions, tool metadata, or expected outcome one at a time and rerun the same set. This sequence produces an auditable link between business intent, measurement design, observed performance, and the remediation decision. Study Guide alignment: Test and manage agents > Evaluate agent performance
> Choose an evaluation method; Review test results.
NEW QUESTION # 76
An agent uses a flow that calls an external service which can occasionally fail or time out.
When a failure occurs, the agent must meet the following requirements:
Must not terminate silently.
Must send a notification containing the error details.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Solution: Configure run after conditions for failure paths.
Does the solution meet the goal?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Configure run after is the control that routes execution to an error-handling action when the external-service action fails, times out, is skipped, or reaches another selected status. By configuring the notification action to run after failure and timeout, the flow no longer terminates silently and can send a message containing sanitized error context. The handler can then set a deliberate flow status, record a correlation ID, and provide the operator with the failed action and remediation path. This design should be paired with an appropriate retry policy based on whether the external operation is safe to repeat. For non-idempotent writes, automatic retry may create duplicates and should generally be disabled or protected with an idempotency key. Error notifications must not include tokens, secrets, or unrestricted payloads. Testing should deliberately produce an authorization failure, timeout, and service error to prove that each status enters the handler and that the notification itself has a fallback if its connector is unavailable. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.
NEW QUESTION # 77
Drag and Drop Question
A company is building an agent in Copilot Studio topic that must retrieve real-time status information from an external REST API using a Send HTTP request node.
To meet the business needs, the topic must meet the following requirements:
- The request must include the required authentication header.
- The request must call the endpoint using the correct HTTP method.
- The response must be configured with an appropriate response data
type based on a schema and saved so the topic can reuse the returned
values.
You need to configure the Send HTTP request node.
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:
Box 1: Add required headers to the HTTP request
To configure the Send HTTP request node to include the required authentication header, you should add required headers to the HTTP request.
Authentication details for external REST APIs (such as API keys or Bearer tokens) are almost universally passed inside the metadata of the call, which is managed in the Headers.
Box 2: Set the method to GET in the HTTP request.
To retrieve real-time status information from an external REST API using a Send HTTP request node in Copilot Studio, you should set the method to GET in the HTTP request.
The standard HTTP GET method is specifically designed to fetch or retrieve data from a server without modifying it.
Box 3: Select JSON data type and save response to a variable
When retrieving real-time data, the primary configuration requirement is telling Copilot Studio how to interpret the incoming data (JSON) and storing it in a custom variable so subsequent nodes in your topic can use it.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/authoring-http-node
NEW QUESTION # 78
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