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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Topic 2: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 3: Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
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NEW QUESTION # 102
An agent needs to call an external REST API that isn't available as a pre-built connector, and the API requires OAuth 2.0 authentication. What should you create?
Answer: B
NEW QUESTION # 103
Hotspot Question
A team deploys Copilot Studio solutions by using Power Platform Pipelines.
You must configure a deployment strategy that meets the following requirements:
- Ensure that the solutions deploy in dev, test, and production
environments in order.
- Identify missing connection references or environment variables
before the deployment process begins.
- Manage all pipeline stages and security from a single, unified
location for all linked environments.
You need to configure the pipeline to meet the requirements.
What should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Sequential stage progression
Power Platform Pipelines stages are ordered, and each stage can specify its predecessor. A solution must be successfully deployed to the preceding stage before it becomes eligible for the next, which enforces dev → test → production ordering. Direct target selection would bypass that ordering entirely.
Box 2: Deployment input validation
Before the deployment runs, the pipeline validates the solution against the target environment and surfaces missing connection references, environment variable values, and other required inputs so they can be supplied up front. Managed solution deployment is just the packaging type; it doesn't perform pre-checks.
Box 3: Centralized pipeline configuration
The host (pipelines) environment holds the Deployment Pipeline Configuration app, where all stages and their security roles are defined for every linked development environment.
Environment-level or maker-defined settings would fragment that administration.
Reference:
https://learn.microsoft.com/en-us/power-platform/alm/run-pipeline
https://learn.microsoft.com/en-us/power-platform/alm/custom-host-pipelines
https://learn.microsoft.com/en-us/power-platform/alm/extend-pipelines
https://learn.microsoft.com/en-us/power-apps/maker/data-platform/environmentvariables
https://www.microsoft.com/en-us/power-platform/blog/power-apps/environment-variables-are-now-always-visible-and-editable-during-solution-import-and-pipeline-deployments/
NEW QUESTION # 104
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:
Explanation:
Requirement
Correct configuration
Users must be able to trace each answer back to its source.
Instruct the agent to cite sources in the knowledge settings.
The agent retrieves information from a centralized data index.
Configure Azure AI Search as the grounding data source.
Responses are generated by an enterprise-approved foundation model.
Deploy a model in Foundry to an agent and connect it to Copilot Studio.
Source citations provide traceability by connecting generated statements to the enterprise content used for grounding. Therefore, the agent's knowledge instructions should require citations. For Azure AI Search, this also requires a usable URL in the search index. Copilot Studio interprets metadata_storage_path, or another field containing a complete URL, as the citation target. Consequently, instructions alone cannot produce functional links if the index does not expose a valid source URL.
Azure AI Search should be configured as the grounding source because it provides centralized, indexed retrieval for enterprise content. During a conversation, the user's query is submitted to the configured search index, relevant passages are retrieved, and those passages become the grounding context for the generated response. Uploading documents directly to Copilot Studio would create a separate Dataverse-backed knowledge source and would bypass the required centralized index.
To satisfy organizational model governance, the approved foundation model must be deployed through Microsoft Foundry and associated with a Foundry agent that is connected to Copilot Studio. This ensures generation uses the approved model deployment rather than an unrelated default model.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Integrate agents with Azure # Configure generative answers by using Azure AI Search with Foundry . See Add Azure AI Search as a knowledge source and Connect to a Microsoft Foundry agent .
NEW QUESTION # 105
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: A
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 # 106
A company is building an agent in Copilot Studio.
The agent must meet the following requirements:
Responses must be grounded in approved internal content.
The agent must be able to retrieve information from configured data sources in a topic.
You need to configure the agent so that topic responses are grounded from custom data sources.
What should you configure?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A generative answers node inside the topic is the correct place to retrieve from configured knowledge sources for that specific conversational path. The node can use the user's message as input, search designated sources, and generate a grounded response from the retrieved content. Topic-level sources can override the broader agent-level set, which is useful when the topic must restrict itself to approved data. A custom prompt that merely instructs the model to use company information does not create or enforce a retrieval connection. Increasing the response limit affects length, not grounding. Analytics measures usage after the fact and cannot supply knowledge. Adding SharePoint only at agent level is unnecessarily narrow and would not satisfy the requirement for custom sources configured within the topic. The builder should enable Search only selected sources when strict scoping is required and turn off general knowledge if no ungrounded fallback is allowed. Testing should inspect both the answer and the resource details to confirm that the intended source supplied the evidence. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom knowledge sources.
NEW QUESTION # 107
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