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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Topic 2: Build and extend agents in Copilot Studio | 40–45% | - Implement advanced capabilities
|
| Topic 3: Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
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NEW QUESTION # 110
A company uses an agent in Copilot Studio to generate structured responses for internal users. The agent must meet the following requirements:
* Consistently follow a reusable instruction template for response tone and structure.
* Use an enterprise-approved foundation model for responses generated through the template.
You need to configure custom prompts so that the agent uses the Microsoft Foundry model catalog. Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.
Answer: C,F
Explanation:
A custom prompt provides a reusable instruction template that controls how the model performs a specific task. The template can define tone, output structure, formatting, constraints, examples, and fallback behavior.
It can then be added as an agent-level tool, called from a topic, or used within an agent flow. This makes option A the correct mechanism for applying consistent instructions wherever the structured response is generated.
The prompt's model is configured separately in the prompt editor. The builder selects the required enterprise- approved model from the Model field or connects an approved deployment from the Microsoft Foundry model catalog. After that model is selected for the custom prompt, every execution of that prompt uses the selected model, making option E correct.
Publishing does not automatically select an appropriate Foundry model; the model must be explicitly configured. Azure AI Search controls retrieval and grounding, not model selection. Citations provide source traceability but do not limit execution to approved models. Defining instructions independently in individual topics would duplicate configuration and weaken consistency.
Relevant AB-620 study-guide topics are Configure advanced agent responses with custom prompts and Configure custom prompts to use the Foundry model catalog . See Use prompts in Copilot Studio and Use Foundry models for prompts .
NEW QUESTION # 111
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:
Requirement
Correct configuration
Make connector actions available for the agent to invoke.
Add the connector as a tool in the agent.
Handle authentication at the service level, not per user.
Create or reuse a connection for the connector.
Pass conversation context into the connector when called.
Map topic variables to the tool inputs.
Surface the connector's returned data to the user.
Parse the JSON response and assign it to a topic variable.
Adding the approved connector as an agent tool exposes its defined REST operations to Copilot Studio. The tool can then be called explicitly from a topic or selected dynamically by generative orchestration, depending on its configuration.
A connector connection stores the authentication configuration required to call the underlying service. Among the provided choices, creating or reusing that connection is the correct service-authentication action. For strict service-level authentication, the tool must additionally be configured under Credentials to use with Maker- provided credentials . Creating a connection alone does not guarantee this behavior if the tool remains configured to use end-user credentials.
Topic variables containing conversation context-such as a customer identifier, ticket number, or requested operation-are mapped to the connector tool's input parameters. This ensures the REST request receives values collected earlier in the conversation.
When the connector returns structured JSON, the relevant values must be parsed and stored in a topic variable. That variable can then be referenced in a message, adaptive card, or subsequent topic node to present the returned information to the user.
Relevant study-guide area: Integrate and extend agents in Copilot Studio # Add tools to agents # Add a tool by using an existing custom connector . See Use connectors in Copilot Studio agents and Add tools to custom agents .
NEW QUESTION # 112
You run multiple evaluation tests for an agent in Copilot Studio before expanding user access.
You observe the following about the evaluation results:
Each evaluation case is reported as meeting or missing the expected response.
Some evaluation cases fail repeatedly across several runs.
Each run displays the expected response and the response generated by the agent.
You need to interpret what the evaluation results reveal.
What should you conclude based on each interpretation? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
* Outcome of individual evaluation cases # Pass or fail status
* Behavior observed across repeated runs # Consistent outcomes
* Details presented in evaluation output # Expected and generated responses A recurring failure across several runs indicates a consistent pattern, not an intermittent result. However, evaluation results alone do not automatically establish the root cause or grant production approval; the failed cases still require investigation.
NEW QUESTION # 113
A company requires an agent in Copilot Studio to answer questions using content stored in a third-party knowledge base system and reuse that content for knowledge grounding.
The agent must ground answers using indexed enterprise knowledge from a non-Microsoft system.
You need to choose the correct integration approach.
What should you use?
Answer: D
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A Copilot connector knowledge source is the appropriate integration for indexed enterprise content held in a non-Microsoft system. The connector brings authorized content into the Microsoft Graph search index and makes it available for knowledge grounding, while access controls determine which results a user may receive. Calling the third-party API from a topic on every question is a tool pattern and would require the agent to implement retrieval, ranking, and response handling itself. A Copilot Studio tool is also an executable capability, not automatically a knowledge source, so options B and C do not meet the indexed-grounding requirement. After the tenant administrator configures and synchronizes the connector, the builder adds the corresponding enterprise knowledge source to the agent, supplies clear metadata, and tests retrieval and citations. Content lifecycle, crawl status, schema mapping, and permission trimming must be monitored because a technically successful connection can still return stale, poorly ranked, or overexposed content. The design should avoid uploading a second copy that would drift from the connector-managed index. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources > Connect to Copilot connectors.
NEW QUESTION # 114
An agent must escalate to a live human agent when it cannot resolve a customer issue, and hand off full conversation context. Which node should you add to the topic?
Answer: D
Explanation:
The handoff/escalate node transfers the conversation, along with context and transcript, to a live agent channel such as Omnichannel or Teams.
NEW QUESTION # 115
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