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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Integrate and Extend Agents in Copilot Studio | 40-45% | - Build advanced agent solutions
|
| Topic 2: Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Topic 3: Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
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NEW QUESTION # 46
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 # 47
A company wants to use content from a non-Microsoft enterprise knowledge base to ground agent responses.
To meet the business needs, the knowledge source must meet the following requirements:
Support grounding from indexed data.
Use existing access controls from the source system.
Support read-only operations.
You need to determine the correct behavior to meet the requirements.
Which behavior meets each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Support grounding from indexed data # Retrieve indexed content
* Use existing access controls from the source system # Respect existing permissions
* Support read-only operations # Prevent transactional updates
Microsoft 365 Copilot connectors index non-Microsoft enterprise content into Microsoft Graph for semantic grounding. They preserve source-level access controls so users receive only content they are authorized to access. Because the connector is configured as a knowledge source, its purpose is retrieval-not executing transactional updates. Microsoft Learn: Copilot connectors as knowledge sources
NEW QUESTION # 48
An agent calls a flow to a database. The agent requires structured output values to be returned. The agent receives unexpected or empty values.
You need to configure the agent so that data is exchanged correctly between the agent and the flow. What should you do?
Answer: E
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The first configuration check is the contract between the agent and the flow. Input and output parameter definitions must agree on name, data type, required status, and mapping. A flow can complete successfully yet return an empty value to the agent if the response field is not mapped to the declared output or if the agent expects a different type.
Validating the parameter definitions therefore addresses the actual data-exchange requirement. Reviewing run history is useful for diagnosis, but it does not correct a mismatched contract by itself. Changing the trigger schema or adding Parse JSON might be necessary in a specific implementation, yet neither should be done before confirming what the caller sends and what the flow returns. Republishing cannot repair an incorrect mapping. The builder should test the flow directly with known values, inspect each action output, verify the final response action, and then test from the agent. Optional and null fields should be handled explicitly, and sensitive outputs should be minimized and protected in logs. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Add input and output parameters.
NEW QUESTION # 49
You create a test set in Copilot Studio to evaluate an agent that answers policy questions and retrieves data from connected knowledge sources. The evaluation threshold is set to 0.80.
You run the evaluation and review the following result for one test case:
Expected response: Digital products are non-refundable after download.
Actual response: Digital products cannot be refunded once downloaded.
Result: Pass
Score: 0.92
Reasoning: The actual response semantically matches the expected response.
Knowledge sources used: RefundPolicy_KB
Tools invoked: None
You need to determine whether additional corrective action is required based on the evaluation results.
Which two actions should you perform? Each correct answer presents a complete solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: B,E
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The test passed because the score of 0.92 exceeds the configured threshold of 0.80 and the evaluation method recognizes semantic equivalence. The actual answer conveys the same policy meaning as the expected response even though the wording is different, so an exact textual match is unnecessary. The recorded knowledge source is RefundPolicy_KB, which is the expected grounding path; confirming that source behavior is therefore appropriate. No tool was expected or invoked, so investigating tool configuration would add noise rather than address a defect. A score below 1.00 is not itself a failure, and rewriting the expected answer to mirror every valid paraphrase would undermine a meaning-based evaluation. The result can be accepted while still being retained as regression evidence. Reviewers should confirm that the cited or retrieved policy content supports the non-refund statement and that the chosen threshold reflects the business risk. For fixed codes or legally prescribed phrases, exact match might be preferable, but this natural-language policy answer is correctly evaluated by semantic similarity. Study Guide alignment: Test and manage agents > Evaluate agent performance > Review test results.
NEW QUESTION # 50
A company needs to ground an agent's answers in Copilot Studio by using live enterprise data from a supported system through a Microsoft Power Platform connector.
To meet the business requirements, the builder must:
* Authenticate by using a valid connection.
* Add the connector as a real-time knowledge source.
* Select the tables used for knowledge grounding.
You need to add a Power Platform connector as a real-time knowledge source for the agent.
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:
The process begins from the agent's Overview or Knowledge page, or from the properties of a generative answers node, by selecting Add knowledge . This opens the catalog of supported knowledge-source types.
The builder must then select the required Power Platform connector from the available real-time connectors, using the advanced selections if the connector is not displayed in the featured list.
Authentication must occur before table selection because Copilot Studio needs an authorized connection to access the target system and discover its available schema. The builder signs in and either creates a new connection or reuses a valid existing connection. After selecting the target location and completing authentication, Copilot Studio presents the tables or entities available through that connection.
The builder then selects only the tables required for knowledge grounding. Limiting the selection improves relevance and reduces unnecessary exposure of enterprise data. After optionally supplying the knowledge- source name, description, synonyms, or glossary definitions, the builder selects Add to agent to complete the configuration.
This is a real-time knowledge integration: connector requests retrieve current data at runtime instead of treating the connector as a static uploaded document. Relevant study-guide topics are Connect to Microsoft Power Platform connectors , Configure advanced responses with custom knowledge sources , and Connect to enterprise knowledge sources . See Add Power Platform connectors as real-time knowledge .
NEW QUESTION # 51
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