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| Section | Objectives |
|---|---|
| Topic 1: Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Monitoring performance and analytics - Publishing and deploying copilots |
| Topic 2: Integrate External Systems and Data Sources | - Connecting Azure services and APIs - Integrating Dataverse and Power Platform components - Using Power Automate for workflow orchestration |
| Topic 3: 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 4: 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 5: Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
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NEW QUESTION # 114
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.
Answer:
Explanation:
NEW QUESTION # 115
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.
Drag and Drop Question
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:
Box 1: Select the service principal as the authentication type
When Copilot Studio connects to Azure AI Search, you choose an authentication type for the connection. Copilot Studio supports adding Azure AI Search as a knowledge source, and by default this is set up using key-based authentication. However, keys are shared secrets with no identity tied to them - they don't satisfy governance requirements around authenticated, auditable access. A service principal (Microsoft Entra ID app registration) is different: a service principal is an identity that represents an application and allows it to access resources in your tenant, and for security and compliance reasons, Copilot Studio uses federated identity. Using a service principal means the connection authenticates as a distinct Entra ID identity with role- based permissions (e.g., "Search Index Data Reader") rather than a static key - which is what
"governance requirement for authenticated access" is pointing at.
Box 2: Enter the name of the Azure AI Search index
An Azure AI Search service can host multiple indexes. Simply pointing at the service isn't enough
- Copilot Studio supports vectorized indexes using integrated vectorization, and when setting up the knowledge source you must select/name the specific index that contains your curated content (e.g., the "policy and procedure Q&A" index) rather than some other index that might live on the same service.
Box 3: Provide the Azure Search Endpoint URL in the connection details
The Endpoint URL (e.g., https://<search-service-name>.search.windows.net) identifies which Azure AI Search service instance the connection points to - this is how Copilot Studio knows which physical resource holds your indexed policy documents, as distinct from any other Search service in the tenant.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/security-faq
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-azure-ai-search
NEW QUESTION # 116
A team wants to automate solution deployment between environments. Deployments must follow a controlled, repeatable process.
The team needs to implement a pipeline-based deployment process that enforces the correct dependency order.
You need to implement a deployment pipeline and determine the correct sequence of actions.
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:
Pipeline capability must first be available for the tenant. Depending on the selected implementation, the organization can use the tenant-wide platform host or configure a custom pipeline host for centralized administration and governance.
After pipeline functionality is available, the participating environments must be associated with the appropriate stages. This establishes the source development environment and target environments, such as test and production. Environment assignment is a prerequisite because the pipeline must know where the solution originates and where each stage deploys it.
The team can then trigger a pipeline run from the unmanaged solution in the development environment.
Power Platform performs predeployment validation, checks for missing dependencies, requests environment- variable and connection-reference values when necessary, and deploys the solution to the configured target.
Pipeline stages must be completed in order; for example, a solution cannot be promoted to production before the same version has been successfully deployed to the preceding test stage.
Finally, the team reviews the deployment results and run history. This information identifies success or failure, validation results, deployment settings, timestamps, initiators, and diagnostic information.
Relevant study-guide area: Test and manage agents # Implement application lifecycle management for agents in Copilot Studio # Implement and extend Microsoft Power Platform Pipelines . See Set up Power Platform Pipelines and Run pipelines .
NEW QUESTION # 117
A company is building an agent that uses an agent flow to retrieve data from an external system and return structured output.
The company needs to create a flow that the agent can invoke to process requests and return results. To support this business need, the flow must meet the following requirements:
Accept parameters from the agent.
Execute an action to retrieve data from the database.
Ensure the agent receives the relevant output information.
Answer:
Explanation:
Explanation:
1. Create a new agent flow; 2. Define input values; 3. Add the database connector action and configure its connection; 4. Define output values returned to the agent; 5. Test the flow run.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The flow container must exist before its interface and implementation can be configured. Inputs are defined early so the agent has a typed contract for the values it will pass, such as an account ID or search criterion. The connector action then uses those inputs to query the database through a valid connection. Output parameters are mapped from the connector result so the calling agent receives only the relevant structured values rather than an opaque internal payload. Testing comes last because it validates the completed contract, connection, query, transformation, and returned output together. Omitting output definitions is a common reason an agent receives blank or unusable data even though the connector action itself succeeded. Input and output names should be descriptive, types must agree on both sides, and sensitive fields should be excluded unless genuinely required. After the flow passes direct tests, add or publish it as a tool and verify the end-to-end conversation path, including invalid input, empty-result, authentication, and timeout scenarios. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Create an agent flow; Add input and output parameters.
NEW QUESTION # 118
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 # 119
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