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| Section | Weight | Objectives |
|---|---|---|
| Test and Manage Agents | 20-25% | - Monitor and manage agent solutions
|
| Plan and Configure Agent Solutions | 30-35% | - Plan agent solutions
|
| Integrate and Extend Agents in Copilot Studio | 40-45% | - Integrate agents with enterprise systems
|
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NEW QUESTION # 56
A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.
The validation process must satisfy the following technical criteria:
Consistency: Execute a fixed library of test cases containing specific user prompts.
Grounding: Measure the quality of the generated output against a verified " golden " response.
Comparison: Provide a performance delta between the current version and previous test runs.
You need to choose an evaluation method that meets the requirements.
What should you use?
Answer: A
Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A predefined test set with expected outcomes is the only option that satisfies consistency, grounding comparison, and repeatable regression analysis. The fixed prompts ensure that each version receives the same inputs. Verified expected responses provide the baseline against which meaning, quality, keywords, or exact output can be scored.
Rerunning the same set produces comparable results over time, allowing the team to calculate whether a knowledge-base change improved or degraded performance. The manual test pane is valuable for interactive debugging and inspecting the activity map, but it does not provide the same controlled batch or historical comparison. Channel usage metrics describe adoption and operational behavior, not response correctness.
Transcript keyword searches can reveal patterns after deployment but do not establish a golden answer or a controlled experiment. The evaluation method should match the content: compare-meaning for legitimate paraphrases, exact match for fixed values, keyword match for required terms, or a custom rubric for domain- specific quality. Results should be retained or exported when a longer audit history is required. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method; Review test results.
NEW QUESTION # 57
You need to plan how Fabrikam Inc. will reuse shared components across multiple agents while limiting who can change the shared components in Copilot Studio Lite.
Which approach should you use for each requirement? To answer, move the appropriate components to the correct requirements. You may use each component 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:
Prevent most builders from modifying shared assets # Share the component collection while controlling edit access; Reuse components without copying # Create a component collection and move the shared components into it; Limit use to the intended primary agent # Restrict the component collection to the primary agent.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A component collection is the correct reusable unit for the escalation topics, MCP definitions, and safety disclaimer. Moving those assets into one collection creates a maintained source that multiple agents can consume without copying and later diverging. Sharing the collection with teammates while controlling edit access separates use permission from modification permission, allowing agent authors to reference the assets while reserving changes for platform engineering. If a sensitive or tightly coupled collection must be usable only by one designated primary agent, the collection can be restricted accordingly. Exporting the primary agent and copying its components would recreate the duplication problem that Fabrikam is trying to eliminate, while restricting every collection to the primary agent would prevent the required cross-agent reuse. The collection should be versioned and tested after changes because a shared update can affect several consumers. Ownership, review, and release responsibilities should also be documented so that reuse does not become an uncontrolled dependency. This design provides consistency, centralized governance, and a smaller maintenance surface across the three agents. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan reusable agent components.
NEW QUESTION # 58
A team uses environment variables to separate configuration from an agent so that the same solution can be moved between environments.
The team requires the following scenarios to be addressed:
An administrator updates a sensitive configuration value and needs the change to take effect at runtime without republishing the agent.
A builder needs to confirm a configuration value but must not be able to modify it from Copilot Studio.
An administrator updates a non-secret configuration value and needs the updated value to be used by the published agent at runtime.
Answer:
Explanation:
NEW QUESTION # 59
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 # 60
Drag and Drop Question
A company is building an agent topic in Copilot Studio. The agent topic uses a generative answers node to respond to user questions based on authorized knowledge sources.
To meet the business needs, the generative answers node must meet the following requirements:
- Use the user's message in the generative answers node.
- Scope the topic node to query only designated data.
- Restrict responses to approved enterprise data.
You need to configure the generative answers node 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: Select the Activity.Text in the Input field
To use the user's message inside a generative answers node in Microsoft Copilot Studio, map the node's Input field to the System.Activity.Text system variable. This variable captures the exact text of the user's most recent message or trigger phrase.
Box 2: Select Search only selected sources.
To scope a Generative Answers node to query only designated data within a specific topic in Microsoft Copilot Studio, you must use the "Search only selected sources" setting within the node's properties and isolate your knowledge base.
Box 3: Clear Allow the AI to use its own general knowledge
You configure this correctly by unchecking/clearing the "Allow the AI to use its own general knowledge" option.
When configuring a Create generative answers node in Microsoft Copilot Studio, the system handles external versus internal knowledge sources based on specific toggles:
Preventing Hallucinations: Leaving "Allow the AI to use its own general knowledge" enabled allows the large language model (LLM) to fall back on its public training data (e.g., ChatGPT data) when it cannot find answers in your custom sources.
Strict Enterprise Grounding: Turning this setting OFF explicitly mandates that the agent uses only the authorized enterprise repositories (like SharePoint sites, uploaded files, or custom databases) attached to your node or agent. If an answer isn't in those specific sources, the node stops and hands the query off to your fallback or error-handling flows instead of guessing.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node
https://learn.microsoft.com/en-us/answers/questions/5666256/generative-answers-node-search-only-selected-sourc
NEW QUESTION # 61
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