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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Monitoring performance and analytics - Iterative improvement and lifecycle management |
| Topic 2: 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 |
| Topic 3: Governance, Security, and Compliance | - Managing access control and authentication - Data protection and responsible AI practices - Environment management in Power Platform |
| Topic 4: Plan and Design Copilot Studio AI Agents | - Selecting Copilot Studio capabilities and architecture approach - Designing conversation flows and agent behavior - Requirements analysis for AI agent solutions |
| Topic 5: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs - Using Power Automate for workflow orchestration |
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NEW QUESTION # 55
You need to configure the agent in Copilot Studio to meet Blue Vender's Responsible AI and data protection requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
NEW QUESTION # 56
Here is the complete text extracted from the image:
A tenant administrator configures a Copilot connector that indexes content from an external knowledge system into Microsoft Graph.
A builder is building an agent that must:
Use the indexed enterprise knowledge during answer generation.
Avoid duplicating or manually uploading the same content.
Avoid invoking the system as a transactional tool.
You need to configure the agent so that responses are grounded in the authorized knowledge sources.
What should you do?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The tenant administrator has already configured a Copilot connector that indexes the external system into Microsoft Graph. The agent should consume that approved enterprise knowledge source from its Knowledge configuration. This lets generative answers retrieve authorized indexed content without recreating the connector, uploading duplicate documents, or treating the source as a callable transaction. Copilot connectors are designed for enterprise search and knowledge grounding; the user ' s access is evaluated so that responses surface only content the user is permitted to see. A custom connector is appropriate when the agent must call an API or perform an operation, which the scenario explicitly excludes. Adding the connector as a tool would likewise shift the design from retrieval to invocation. Manual file upload would create a second, potentially stale copy and break the administrator-managed indexing lifecycle. After adding the source, the builder should provide a clear name and description, test representative questions, confirm citations or source attribution, and verify that restricted users cannot retrieve unauthorized material. Study Guide alignment:
Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources > Connect to Copilot connectors.
NEW QUESTION # 57
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
Consistency: Execute a fixed library of test cases containing specific user prompts.
Grounding: Measure the quality of the generated output against a verified " golden " response.
Comparison: Provide a performance delta between the current version and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A predefined test set with expected outcomes is the only option that satisfies consistency, grounding comparison, and repeatable regression analysis. The fixed prompts ensure that each version receives the same inputs. Verified expected responses provide the baseline against which meaning, quality, keywords, or exact output can be scored.
Rerunning the same set produces comparable results over time, allowing the team to calculate whether a knowledge-base change improved or degraded performance. The manual test pane is valuable for interactive debugging and inspecting the activity map, but it does not provide the same controlled batch or historical comparison. Channel usage metrics describe adoption and operational behavior, not response correctness.
Transcript keyword searches can reveal patterns after deployment but do not establish a golden answer or a controlled experiment. The evaluation method should match the content: compare-meaning for legitimate paraphrases, exact match for fixed values, keyword match for required terms, or a custom rubric for domain- specific quality. Results should be retained or exported when a longer audit history is required. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method; Review test results.
NEW QUESTION # 58
A company uses an agent in Copilot Studio to answer questions based on enterprise content.
The content is indexed in Azure AI Search. Responses must be generated by a Microsoft Foundry model.
To meet the business needs, the solution must meet the following requirements:
Users must be able to trace each answer back to its source.
The agent must retrieve information from a centralized data index.
Responses must be generated by an enterprise-approved foundation model.
You need to configure generative answers for the agent.
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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 59
You need to design a solution that provides Fabrikam Inc. with a multi-agent design approach with existing agents.
Which approach should you use for each requirement? To answer, move the appropriate approaches to the correct requirements. You may use each approach 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:
Policy questions # Delegate to a knowledge-focused agent; Metric requirements # Delegate to a data- access agent; Transaction requirements # Delegate to a tools-first agent.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The architecture should separate responsibilities according to the kind of work each specialist performs. Policy and procedure questions depend on retrieval from curated, indexed content and therefore belong with a knowledge-focused agent. Operational measures such as backlog, SLA exposure, and parts shortages require governed, current business data; a data-access specialist, represented in this case by the Fabric Data Agent, is the correct destination. Creating a parts request or changing a service-case status is different from answering a question:
it is an authenticated transaction and should be delegated to a tools-first agent that can invoke approved MCP operations. Putting all three responsibilities into one agent would increase the number of competing tools and knowledge sources, weaken routing precision, and duplicate logic already owned by specialist teams. The selected pattern also matches Fabrikam ' s requirement that capabilities evolve independently. Clear names, descriptions, inputs, and outputs remain essential because generative orchestration uses that metadata to decide which connected agent to invoke. This division gives the primary agent a coordination role while each specialist retains its own knowledge, privileges, release lifecycle, and audit boundary. Study Guide alignment:
Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Design multi-agent solutions in Copilot Studio.
NEW QUESTION # 60
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