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| Section | Objectives |
|---|---|
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| 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 |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components |
| 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 |
| Deploy, Monitor, and Optimize AI Agents | - Monitoring performance and analytics - Iterative improvement and lifecycle management - Publishing and deploying copilots |
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NEW QUESTION # 94
A company has agents in Copilot Studio.
The company needs to prevent the agents from using disallowed connectors and insecure data flows.
Administrators must be able to enforce the governance controls to prevent and report violations.
You need to enforce governance controls for agents.
What should you do?
Answer: C
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform data policies are the preventive governance control for connectors, HTTP endpoints, knowledge sources, and combinations of data groups used by Copilot Studio agents. Administrators can classify or block connectors, restrict endpoint use, require authentication, and surface policy violations during authoring or publishing. This meets both enforcement and reporting requirements. Application Insights records runtime telemetry but does not prevent a maker from adding a disallowed connector. Security FAQs provide guidance only. Agent analytics can reveal behavior and usage trends but are detective, not an administrative guardrail. Data policies should be scoped deliberately at tenant or environment level and tested against representative agent configurations. When a violation occurs, Copilot Studio can block publishing and provide downloadable details identifying the policy conflict, enabling the administrator and maker to correct the design. Governance should also include least-privilege connections, environment segmentation, solution-based ALM, and review of exceptions; a broadly permissive policy followed by manual monitoring is not equivalent to enforcing the control at design and deployment time. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Evaluate security and governance considerations.
NEW QUESTION # 95
Case Study 2 - Fabrikam Inc.
Background
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.
Current environment
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 as allowed to edit shared assets. However, all agent authors must be able to use them.
Technical requirements
The Fabrikam Inc. 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, Fabrikarn 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.
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:
In Microsoft Copilot Studio, when you need your primary agent to interact with a cross-platform, external agent owned by a partner organization, you use the standardized open Agent2Agent (A2A) protocol.
Scenario:
Fabrikarn 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.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-agent-to-agent
NEW QUESTION # 96
Drag and Drop Question
A company has an approved custom connector that uses a REST API for an internal system.
An agent in Copilot Studio must call this connector during conversations to retrieve or update data.
To meet the business needs, the solution must meet the following requirements:
- Make the connector actions available for the agent to invoke.
- Ensure authentication is handled at the service level, not per user.
- Pass conversation context into the connector when it is called.
- Surface the returned data of the connector to the user in the
conversation.
You need to configure the agent and the connector action to meet the requirements.
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: Add the connector as a tool in the agent
To make the custom connector actions available for the agent to invoke, the correct configuration action is to add the connector as a tool in the agent.
Box 2: Create or reuse a connection for the connector
The correct configuration action to ensure authentication is handled at the service level (and not per user) is to create or reuse a connection for the connector.
Service-Level Auth: In Copilot Studio, when you use a custom connector, you must establish a connection that determines how credentials are supplied.
Connection Creation: By creating a connection using a fixed service account or API key-and configuring it to be shared or run under that specific context-the agent authenticates at the system/service level.
Box 3: Map topic variables to the tool inputs
The correct configuration action is to map topic variables to the tool inputs.
When you add a custom connector to an agent in Microsoft Copilot Studio, it functions as a "tool" or an action. To pass specific data-such as conversation context or user details-from the ongoing chat into that connector, you must map the active Copilot Studio topic variables to the input parameters defined by the connector's REST API.
Box 4: Parse the JSON response and assign it to a topic variable
To surface the returned data of the connector to the user in Copilot Studio, the correct configuration action is to parse the JSON response and assign it to a topic variable.
Data Extraction: Custom connectors return raw JSON data from REST APIs.
Variable Storage: Copilot Studio cannot display raw JSON directly to users in a clean way.
User Delivery: You must parse that JSON payload to isolate specific fields and save them into topic variables, which can then be inserted into message nodes for the user to read.
Reference:
https://learn.microsoft.com/en-us/power-platform/release-plan/2024wave2/microsoft-copilot-studio/create-rest-api-copilot-connectors-copilot-studio
NEW QUESTION # 97
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements.
* Must use an executive summary format
* Must apply only within a specific topic.
* Must continue using configured knowledge sources.
* Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements Solution: Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
Does the solution meet the goal?
Answer: B
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A separate custom prompt tool that merely requests an executive-summary structure does not, by itself, guarantee that the existing generative answers node and its configured knowledge sources remain in the response path. Prompt tools have their own inputs, knowledge configuration, model settings, and completion behavior. If the tool is invoked independently, it can generate correctly formatted text without using the sources selected for the topic
' s generative answer, which violates a stated requirement. The safer design is to keep the generative answers node and apply topic-specific custom instructions or prompt modification to that node, or explicitly pass its grounded output into a downstream formatting prompt with a controlled contract. Connector security remains enforced by the underlying connections and data policies; wording in a prompt cannot override those controls.
Therefore, the proposed solution is incomplete and does not meet the goal as written. Testing should confirm not only the output format but also the sources used and the identity under which any connector retrieval occurred. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure advanced agent responses with custom prompts and custom knowledge sources.
NEW QUESTION # 98
A development team is reusing agents in Copilot Studio across development, test, and production environments.
You need to ensure the agents meet the following requirements:
Reusable components must support governed promotion across environments.
Environment-specific configuration must not be hard-coded.
Deployments must support automated, multi-stage approvals.
You need to configure the agents based on the business requirements.
Answer:
Explanation:
NEW QUESTION # 99
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