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| Section | Objectives |
|---|---|
| Topic 1: Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors |
| Topic 2: 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 |
| Topic 3: Integrate External Systems and Data Sources | - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration - Connecting Azure services and APIs |
| Topic 4: Governance, Security, and Compliance | - Managing access control and authentication - Environment management in Power Platform - Data protection and responsible AI practices |
| Topic 5: Deploy, Monitor, and Optimize AI Agents | - Publishing and deploying copilots - Iterative improvement and lifecycle management - Monitoring performance and analytics |
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NEW QUESTION # 19
A company has an existing custom connector that is approved and available in the environment. A builder wants an agent in Copilot Studio to call the connector during a conversation to retrieve information from an internal system.
To meet the business needs, the solution must meet the following requirements:
The agent must make the connector available for topic steps.
The agent must run the connector call with a valid connection.
The connector call must receive the required input values at runtime.
You need to configure the agent so the custom connector can be used as a tool.
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:
NEW QUESTION # 20
A company is extending agents in Copilot Studio with both external capabilities and enterprise content access. Some user requests require grounded answers, while other requests require executing actions.
To meet the business needs, the agent must meet the following requirements:
Ground answers using results from enterprise data.
Invoke callable functions exposed through a standardized tool interface.
Write an update to a system by using an authenticated action during the conversation.
You need to integrate the correct approach to meet the requirements.
Answer:
Explanation:
NEW QUESTION # 21
You need to determine which authentication model should be applied to each Blue Yonder Copilot interaction scenario to comply with the company's security and governance requirements.
Which authentication requirement should you apply to each scenario? To answer, move the appropriate authentication requirements to the correct user scenarios. You may use each authentication requirement 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:
NEW QUESTION # 22
An agent in Copilot Studio is evaluated by using a fixed test set and an automated evaluation method.
After running the evaluation several times, the team observes that the same three interactions fail in every run, while all other interactions pass consistently.
You need to use the evaluation results to determine an accurate conclusion.
What should you conclude from the evaluation results?
Answer: C
Explanation:
When the same three test cases fail consistently while the remaining cases pass, the evaluation has isolated a repeatable weakness within a specific portion of the agent's functional scope. The appropriate next step is targeted triage and remediation of those interactions rather than redesigning the entire agent.
The team should first verify that each failing test case has a current expected response, realistic input, and an appropriate evaluation method. If the evaluation setup is valid, the builder can inspect the generated responses, transcripts, activity maps, knowledge retrieval, topic routing, tool selection, and tool parameters to identify the shared cause. The issue might involve a missing instruction, inaccessible knowledge, overlapping topic triggers, or an incorrectly configured tool.
The results alone do not prove that the underlying language model caused the failures. They also do not automatically establish that deployment must be blocked; deployment readiness depends on whether the failures affect safety, compliance, or critical business scenarios and whether organizational acceptance thresholds are met. Consistent passing results elsewhere indicate that the agent's entire design is not necessarily defective.
Relevant study-guide area: Test and manage agents # Evaluate agent performance # Review test results .
See Triage agent failures and Analyze failure patterns .
NEW QUESTION # 23
You need to enable Operations Concierge to delegate shipment tracking inquiries according to Fabrikam Inc. ' s defined architecture and technical requirements.
Which integration approach should you use?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The partner capability is described as an agent available only through a standardized agent-to-agent endpoint. That is the defining use case for an Agent2Agent connection. In Copilot Studio, the primary agent is configured with the external agent ' s A2A message endpoint and the applicable authentication details, after which orchestration can delegate shipment-tracking requests to it. An MCP server exposes tools or resources rather than an independently orchestrated partner agent, so option C changes the integration contract. An indexed knowledge source is also unsuitable because shipment status is dynamic and the requirement is delegation, not retrieval from a copied corpus. Generative responses in the primary agent would have no authoritative live shipment source and would violate the defined architecture. The A2A description should identify shipment tracking precisely so that it does not compete with unrelated agents or tools. Because external-agent support can be preview functionality, Fabrikam should also validate regional availability, authentication, error behavior, latency, and governance before production use. Study Guide alignment: Integrate and extend agents in Copilot Studio > Configure multi-agent collaboration from Copilot Studio > Create a multi-agent solution by using A2A protocol.
Topic 1, Fabrikam inc.
Background Current Environment:
Fabrikam Inc. is a Canada-based manufacturer with a growing service organization that supports field technicians and internal operations teams. Fabrikam Inc. plans to launch a new internal agent solution named Operations Concierge to reduce time spent searching policy content, retrieving operational metrics, and executing routine transactions.
The agent will be used by three groups:
* Service coordinators who triage incoming service requests
* Field technicians who need guided procedures and parts availability
* Operations managers who monitor KPIs and exceptions
The agent solution must work in real-world operational conditions. Users often ask questions mid-call with a customer or while coordinating parts shipments. The agents require quick, reliable outcomes. As a result, Fabrikam Inc. requires the solution to:
* Provide grounded answers with traceability when it provides guidance.
* Retrieve real-time metrics when users ask for operational status,
* Execute authenticated updates when users initiate a flow (such as creating a parts request).
Fabrikam Inc. also expects the solution to be maintained by multiple makers and developers across the year.
The company has experienced duplicated logic and inconsistent behavior across different agents. This project emphasizes reuse, governance, and maintainability across teams.
Business Requirements:
Fabrikam Inc. runs three Microsoft Power Platform environments for agent development and release: Dev, Test, and Prod.
The team plans to build the agent and validate it in Dev and Test, then promote to Prod by using a controlled release process that supports repeatable deployments.
Fabrikam Inc. already has two assets the team wants to reuse:
* A partially completed Copilot Studio agent named Service Desk Agent, used by IT to create internal tickets and route requests
* A Microsoft Foundry agent created by a central AI team that performs specialized summarization and classification for long-form text (for example, summarizing call transcripts into an incident narrative) Fabrikam Inc. also has operational and knowledge data sources:
* A curated policy library (internal SOPs, service warranty rules, escalation criteria, and standard operating procedures)
* A set of indexed documents and procedures in an Azure AI Search service that supports vector search for the policy library
* A Microsoft Fabric workspace that includes a semantic model used by operations leadership for reporting Business Requirements:
Fabrikam Inc. requires Operations Concierge to meet the following business requirements:
* Traceability requirement: When the agent provides policy guidance or procedural recommendations, users must be able to see where the answer came from.
* Metrics requirement: When users ask about service performance (backlog, SLA risk, parts shortages, dispatch delays), the solution must return up-to-date metrics in a structured format that operations managers can use in weekly reviews.
* Transaction requirement: The solution must support authenticated updates initiated during conversations, including creating a parts request and updating a service case status.
In addition, Fabrikam Inc. wants to avoid duplicating common assets across agents:
* The team must reuse the same set of escalation topics, MCP tool definitions, and a standard safety disclaimer across three different agents.
* Only the platform engineering group is allowed to edit shared assets. However, all agent authors must be able to use them.
Technical Requirements:
The Fabrikam Inc. ' s solution architecture uses a multi-agent approach so that specialist responsibilities are isolated and can evolve independently.
The Operations Concierge (primary agent) must coordinate the following specialist capabilities:
* Policy and procedure Q & A: Use an enterprise knowledge source that supports indexed retrieval across the curated policy library and service procedures.
* Operational metrics: Delegate metric queries to a Fabric Data Agent that reads governed business data through the Fabric semantic model.
* Authenticated updates: Use tools exposed by an existing internal Model Context Protocol (MCP) server that provides transactional operations for the service organization.
* Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
Fabrikam Inc. will onboard two MCP servers as tools:
* PartsOps MCP server: exposes tools for parts availability checks and parts request creation. The server requires per-user authentication because actions must be traceable to the requesting user.
* WarrantyRules MCP server: exposes a read-only tool for validating warranty coverage. The server uses an API key shared by the agent team.
Fabrikam Inc. has also defined a collaboration requirement with the existing Service Desk Agent:
* The primary agent must delegate IT-specific requests to the existing Service Desk Agent rather than reimplement ticket creation logic.
Finally, Fabrikam Inc. plans to support a partner integration:
For shipment tracking inquiries, Fabrikam Inc. will delegate to a partner-provided agent that is only available through a standardized agent-to-agent endpoint.
Issues and constraints
During early testing, Fabrikam Inc. found three recurring problems:
* Makers are copying and modifying the same components across agents, resulting in inconsistent disclaimers and duplicated tools.
* Users can obtain a correct answer, but the response is not consistently traceable to a source when the agent uses knowledge.
* The primary agent can route some requests, but specialist capabilities are not consistently delegated (for example, some metric questions are answered generatively instead of being routed to the Fabric Data Agent).
* You are part of the engineering team responsible for correcting the design and configuration to meet the preceding requirements and constraints.
NEW QUESTION # 24
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