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| Section | Weight | Objectives |
|---|---|---|
| Plan and configure agent solutions | 30–35% | - Configure agent foundations
|
| Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Build and extend agents in Copilot Studio | 40–45% | - Develop agent flows and logic
|
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NEW QUESTION # 90
You are configuring an agent in Copilot Studio for an organization. The organization uses Microsoft Dataverse, Dynamics 365, and SharePoint Online.
The agent must retrieve information from enterprise systems and internal documents. The agent must meet the following requirements:
* Must retrieve the current balance of a customer account stored in Dataverse.
* Must retrieve the real-time shipping status of an order that updates throughout the day in Dynamics 365.
* Must answer questions based on the content of a static PDF policy document.
* Must provide a welcome message that does NOT depend on enterprise data.
Answer:
Explanation:
Explanation:
Current Dataverse balance # Connect to a Power Platform connector; Real-time Dynamics 365 shipping status # Connect to a Power Platform connector; Static PDF policy content # Upload the file to the agent ' s knowledge; Welcome message independent of enterprise data # Create a manual response in the topic.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The retrieval pattern should match the volatility and purpose of each source. Customer balances and shipping status are operational values that can change during the day, so the agent should query the systems through Power Platform connectors at runtime rather than rely on a static copy. The connector connection also preserves the applicable authentication and source-system controls. A fixed PDF policy is unstructured reference material; uploading it as agent knowledge allows generative retrieval over its contents without building a transactional integration.
The welcome message is deterministic presentation text and does not require any enterprise lookup, so a manual message in the topic is simpler and more reliable than a generative call. A generative answer without enterprise data would be inappropriate for balances or shipping status because it has no authoritative current value. This separation limits latency and security exposure, keeps dynamic information live, and uses knowledge grounding only where retrieval is actually needed. Each connector should be described precisely and tested under the intended user identity to ensure the returned records respect access permissions. Study Guide alignment: Integrate and extend agents in Copilot Studio > Connect to enterprise knowledge sources; Add tools to agents.
NEW QUESTION # 91
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.
Answer:
Explanation:
NEW QUESTION # 92
Hotspot Question
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:
Box 1: Retrieve indexed content
To ground a Copilot agent in an external enterprise knowledge base using indexed data, you need to configure Retrieve indexed content.
This process relies on Retrieval-Augmented Generation (RAG). Instead of relying on a pre- trained model or executing live API queries during the conversation, the system references a periodically updated, synchronized index of your knowledge base.
Box 2: Respect existing permissions.
To ensure that the Copilot agent responses respect the existing access controls and source-level permissions of your non-Microsoft enterprise knowledge base, you must configure Respect existing permissions.
Respect existing permissions: This setting ensures the agent operates on a user-delegated permission model. The Copilot agent dynamically trims and limits search results at runtime, meaning the end-user will only receive answers derived from data they explicitly have authorization to view in the external source system.
Incorrect:
Respect existing permissions from agent authors: This incorrect option would ground responses based entirely on the author's access level during the creation process, potentially leaking sensitive data to unauthorized end-users.
Box 3: Prevent transactional updates
To ground Microsoft Copilot agent responses using a non-Microsoft enterprise knowledge base with read-only operations, you must configure Prevent transactional updates.
This configuration ensures that the Copilot agent can only fetch, read, and query data from your enterprise knowledge base. It explicitly blocks any modifications, insertions, or deletions, adhering strictly to your read-only requirement and protecting your source data from accidental alterations.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/knowledge-copilot-connectors
NEW QUESTION # 93
Drag and Drop Question
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 are able to trace each answer back to its source.
- The agent retrieves information from a centralized data index.
- Responses are 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. 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: Instruct the agent to cite sources in knowledge settings
The specific behavior of how the agent presents that information-such as enforcing citations and tracing links back to the source documents-is controlled by the instructions and configurations within the agent's knowledge and conversation settings. You must explicitly configure the agent's prompt instructions or system settings to format the output with source citations so users can trace the answers.
Box 2: Configure Azure AI Search as the grounding data source
By adding Azure AI Search as a knowledge source Microsoft Copilot Studio enables the Retrieval-Augmented Generation (RAG) pattern. This ensures your generative AI model retrieves specific enterprise content from your centralized index and uses it to ground responses.
Box 3: Deploy a model in Foundry to an agent and connect to Copilot Studio Model Control: To strictly guarantee that an enterprise-approved foundation model (such as a specific Microsoft Foundry model) generates the response, you must manually deploy that specific model and link it to your agent.
Connection Workflow: Deploying the custom model in Azure AI Studio (formerly encompassing parts of Azure AI Foundry) and connecting it to Copilot Studio ensures the orchestration layer routes prompts directly to your certified LLM.
Reference:
https://learn.microsoft.com/en-us/azure/foundry/agents/how-to/tools/ai-search
NEW QUESTION # 94
You need to configure the Blue Yonder Copilot agent's responses in accordance with the company's content control and platform requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,E
Explanation:
B . Configure prompt instructions that include disclaimer text. Centralized prompt instructions apply the required disclaimer and behavioral controls consistently to generative responses. This avoids maintaining duplicate text in individual topics and reduces the risk of inconsistent compliance language. Microsoft confirms that prompt modifications can control response content, format, personality, and what the agent should or should not answer. Microsoft Learn: Prompt modification C . Use Markdown syntax within response content. The scenario explicitly requires Markdown for formatting and states that HTML is unsupported. Markdown can provide headings, bold text, lists, and other structured presentation while remaining compatible with the target channels.
Options A and E duplicate disclaimer content across topics, creating unnecessary maintenance and inconsistent responses when the disclaimer changes. Option D violates the stated platform requirement because HTML must not be used.
NEW QUESTION # 95
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