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| Section | Weight | Objectives |
|---|---|---|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
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NEW QUESTION # 34
A company is building a Copilot Studio solution that must answer policy questions, retrieve operational metrics from structured data, and execute authenticated updates in backend systems. The company decides to use multiple specialized agents rather than a single monolithic agent. Custom agents for each capability already exist.
To meet the business requirements, the solution must:
* Retrieve up-to-date metrics from structured data.
* Answer policy questions by using curated knowledge.
* Execute authenticated updates during conversations.
You need to select the appropriate agent design for each requirement.
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.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Requirement
Configuration
The solution must retrieve up-to-date metrics from structured data.
Delegate the request to a data-access agent.
The solution must answer policy questions by using curated data sources.
Delegate the request to a knowledge-focused agent.
The solution must execute authenticated updates during conversations.
Delegate the request to a tools-first agent.
A data-access agent is appropriate for operational metrics because it specializes in retrieving current information from structured systems such as Microsoft Fabric, Dataverse, SQL databases, or real-time Power Platform connector sources. Its scope and instructions can be optimized for analytical queries and structured data retrieval.
A knowledge-focused agent is designed around authoritative, curated content such as policy documents, SharePoint libraries, approved websites, and enterprise knowledge bases. Its instructions and knowledge- source descriptions can constrain responses to approved material, making it the appropriate specialist for policy questions.
A tools-first agent is the correct design for authenticated updates. Tools-including connectors, agent flows, REST APIs, custom connectors, and MCP tools-allow an agent to interact with backend systems and perform transactional operations. Connections can use the appropriate user or service authentication strategy, while tool inputs and outputs control the requested update.
Delegating all three responsibilities to a single agent would recreate the monolithic design that the company explicitly wants to avoid. Separating the capabilities improves modularity, privilege isolation, independent maintenance, and orchestration accuracy. The primary agent should use clear connected-agent descriptions so it can select the appropriate specialist at runtime. Relevant study-guide topics are Design multi-agent solutions , Configure multi-agent collaboration , Connect to enterprise knowledge sources , and Add tools to agents . See Multi-agent orchestration patterns and Add tools to custom agents .
NEW QUESTION # 35
A company is building an agent in Copilot Studio topic that must retrieve real-time status information from an external REST API using a Send HTTP request node.
To meet the business needs, the topic must meet the following requirements:
The request must include the required authentication header.
The request must call the endpoint using the correct HTTP method.
The response must be configured with an appropriate response data type based on a schema and saved so the topic can reuse the returned values.
You need to configure the Send HTTP request node.
Which configuration should you use for each requirement? To answer move the appropriate configuration to the correct requirements.
Answer:
Explanation:
NEW QUESTION # 36
Drag and Drop Question
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.
What should you integrate for each requirement? To answer, move the appropriate integrations to the correct requirements. You may use each integration 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 a Copilot connector knowledge source for index content
To extend a Copilot Studio agent to provide grounded answers using enterprise data (such as ERP, CRM, or document stores), the correct integration action is to add a Copilot connector knowledge source for index content.
Copilot connectors crawl your enterprise content and index it into the search index. This allows the agent's generative answers to quickly retrieve and ground responses in trusted business data.
Box 2: Connect to an MCP server and add its tools to the agent
Standardized Tool Interface: The Model Context Protocol (MCP) is a universal, open standard interface specifically built to let large language models securely interact with external tools and callable functions.
Executing Actions: When you link an MCP server to your Copilot Studio agent, any executable capabilities or functions exposed by that server automatically become functional tools that your agent can invoke.
Box 3: Add a Power Platform connector tool and call it from a topic
For extending a Copilot Studio agent to execute authenticated, real-time updates to an external system, the correct action to take is to add a Power Platform connector tool and call it from a topic.
Executing Actions & Writing Data: Power Platform connectors (prebuilt or custom) are explicitly designed to perform actions like creating, reading, updating, or deleting records (CRUD operations) in backend systems.
Authentication: Connectors natively support security configurations, allowing you to easily map credentials so the agent executes the update using either maker-provided or specific end-user Microsoft Entra ID authentication. You can also control access at the topic level to ensure triggers execute precisely when required.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/copilot-connectors-in-copilot-studio
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-tools-custom-agent
NEW QUESTION # 37
A company uses an agent in Copilot Studio to coordinate user interactions.
The company wants the agent to delegate requests to a Microsoft Fabric Data Agent that accesses governed business data.
The agent must retrieve structured analytical data while enforcing data security and scope controls.
You need to select the integration approach that meets the requirements.
What should you use?
Answer: B
Explanation:
To coordinate interactions while accessing governed data, you should create a Microsoft Fabric Data Agent and integrate it into Microsoft Copilot Studio using the Add Agent / Generative Orchestration feature.
Agent-to-Agent Collaboration: Instead of writing custom APIs, you can publish a specialized Fabric Data Agent in Microsoft Fabric, and then simply bind it as an external agent within Copilot Studio.
Built-in Security & Scope: Fabric enforces existing data constraints. Data access runs under the authenticated user's identity, automatically respecting Power BI model-level read permissions, Row-Level Security (RLS), and Object-Level Security (OLS).
Seamless Context: This enables multi-step agent orchestration where Copilot Studio routes queries to the Fabric agent for complex analytical insights (translating natural language to SQL/DAX/KQL) without exposing raw data.
Reference:
https://learn.microsoft.com/en-us/fabric/data-science/data-agent-microsoft-copilot-studio
NEW QUESTION # 38
A company uses a supported Power Platform connector to provide real-time access to enterprise records for knowledge grounding in an agent in Copilot Studio.
To meet the business needs, the knowledge source must provide the following functionality:
Avoid copying enterprise data into an index.
Keep source-system access controls enforced.
Access data by calling the system at runtime.
You need to configure the connector knowledge source.
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.
Answer:
Explanation:
Explanation:
Avoid indexing business records # Retrieve data without indexing; Preserve source-system controls # Use existing permissions; Access current data at runtime # Use a real-time Power Platform connector.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Power Platform real- time knowledge connectors query the source system when the agent needs an answer. Microsoft indexes metadata needed to understand the available tables and fields, but the business records themselves are not copied into a separate content index. Because the request is executed through the established connection, the source system ' s permissions remain part of the access decision. This is materially different from a Copilot connector, which indexes external content into Microsoft Graph, and from Azure AI Search, which relies on a maintained search index. The real-time pattern is best when current operational records and source-enforced access are more important than broad document search. The connection must be governed with the same Power Platform data policies that apply to actions, and authentication should reflect whether access is user- delegated or provided by a service identity. Testing under users with different permissions is essential to confirm that the agent cannot return records a user could not access directly and that changes in the source appear without an indexing delay. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources > Connect to Microsoft Power Platform connectors.
NEW QUESTION # 39
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