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| Section | Objectives |
|---|---|
| Plan and Design Copilot Studio AI Agents | - Requirements analysis for AI agent solutions - Designing conversation flows and agent behavior - Selecting Copilot Studio capabilities and architecture approach |
| Deploy, Monitor, and Optimize AI Agents | - Iterative improvement and lifecycle management - Monitoring performance and analytics - Publishing and deploying copilots |
| Governance, Security, and Compliance | - Environment management in Power Platform - Data protection and responsible AI practices - Managing access control and authentication |
| Integrate External Systems and Data Sources | - Using Power Automate for workflow orchestration - Integrating Dataverse and Power Platform components - Connecting Azure services and APIs |
| Build and Configure AI Agents in Copilot Studio | - Using generative AI and prompt engineering in Copilot Studio - Creating and configuring copilots and topics - Configuring actions, plugins, and connectors |
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NEW QUESTION # 12
You need to connect Operations Concierge to Fabrikam Inc.'s Azure AI Search knowledge index while complying with security requirements.
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. 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:
Topic 2, Blue Yonder Airlines
Background
Blue Yonder Airlines is a global carrier headquartered in Los Angeles, California, operating domestic and international flights. The company serves millions of passengers annually through its website, mobile app, and call centers. To improve customer service efficiency and reduce call center volume, Blue Yonder is deploying an AI agent in Microsoft Copilot Studio.
The agent will handle customer inquiries across multiple channels - web chat, mobile app, and Microsoft Teams (for internal support staff). It will answer questions, retrieve data from enterprise systems, and escalate to human agents when needed.
The project is led by a cross-function team:
Product manager: Defines requirements and success metrics.
Lead agent author: Designs topics, intents, and generative behavior.
Flow designers: Build agent flows and integrations.
IT/security and compliance: Oversees identity, data protection, and Responsible AI (RAI) compliance.
Segment
Current environment
Channels -
Public website: Embedded web chat
Mobile app: In-app chatbot -
Microsoft Teams: Internal support agent access
Segment
Identity and access
Customers: Anonymous access for general inquiries (e.g., flight status, baggage policy).
Authentication is required for personal data access (e.g., bookings, loyalty points).
Internal staff: Authenticate via Microsoft Entra ID.
Segment
Data sources
Reservation and Ticketing System (internal): REST API, no prebuilt connector with custom enterprise database.
Flight Status and Weather APIs (external): REST APIs with API keys.
Customer Support Knowledge Base: SharePoint library with PDFs and policy documents.
Loyalty Program Data: Stored in Dynamics 365 and Dataverse.
Travel Advisory Content: Uses REST API with partner services.
Segment
Integration mechanisms
Custom connectors must be used for internal APIs that lack prebuilt connectors.
HTTP request nodes may be used for lightweight external APIs.
Knowledge sources must be used for unstructured content.
Agent flows must be used to encapsulate reusable logic (e.g., rebooking).
Segment
Business requirements
Omnichannel support -
Deploy the agent across web, mobile, and Teams with a consistent user experience. The Teams deployment must also support internal staff.
Self-service capabilities -
The agent must handle common inquiries such as:
Flight status -
Segment
Booking and rebooking
Loyalty program questions -
Travel policies and baggage rules
Human escalation
If the agent cannot resolve an issue or the user requests help, it must:
Escalate to a human agent.
Transfer the conversation transcript and relevant context.
Redact any sensitive personal data before escalation.
Segment
Knowledge integration
The agent must use scalable methods for knowledge integration and must not rely on manually authored Q&A topics for each document.
Segment
Performance metrics
First-contact resolution: +25%
Tier-1 call deflection: ≥20%
Response time: 90% of queries answered within 30 seconds
Accuracy: ≥95% for known FAQs -
CSAT: ≥85% for AI-handled interactions
Segment
Technical requirements
Title
Platform constraints
No custom code is permitted; only Copilot Studio's built-in tools may be used.
All backend logic must be implemented using agent flows.
Markdown must be used for formatting (e.g., bold, bullet points); HTML is not supported.
Title
Authentication
Sign-in is required for personal data access.
Anonymous access is allowed for general inquiries.
User identity must be used for data access; shared or builder credentials must not be used.
Title
Compliance and security
Power Platform DLP policies must be enforced to block unauthorized data flows.
Responsible AI content moderation filters must be enabled.
Prompt modifications must be added to enforce tone, disclaimers, and refusal behavior.
Disclaimers must be applied consistently across all generative responses. Manual edits to individual topics must be avoided.
Title
Monitoring and maintenance
All conversations and actions must be logged for auditing.
Weekly reviews of transcripts and metrics must be conducted.
Title
Issues and constraints
API rate limits: External APIs (e.g., flight status) have usage limits. Agent flows must handle retries and caching to avoid exceeding quotas.
Knowledge base limits: Copilot Studio has limits on the number and size of indexed documents. Large files must be split or summarized.
Generative answer risks: Generative responses must be constrained to avoid policy violations. Prompt modifications and filters must be used to enforce tone, safety, and compliance.
User input variability: Users phrase questions in diverse ways. Topics must include varied trigger phrases and fallback handling.
Authentication UX: The agent must clearly explain when sign-in is required and handle transitions smoothly across channels.
Title
Problem statement
Blue Yonder Airlines must deploy a secure, scalable, and policy-compliant AI agent using Microsoft Copilot Studio. The agent must deliver accurate, helpful, and safe responses across multiple channels, integrate with enterprise systems, and support both anonymous and authenticated users. It must adhere to strict data protection and Responsible AI standards while improving customer service efficiency and satisfaction.
NEW QUESTION # 13
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: D
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 # 14
A company is deploying an agent that uses generative responses. During pilot testing, some responses are blocked by responsible AI filtering. The company has Application Insights enabled.
You need to enable the following:
Must implement safeguards to block unsafe or harmful content.
Must implement protections for user prompts and model-generated responses.
Must be able to investigate why responses are filtered.
Answer:
Explanation:
NEW QUESTION # 15
An agent needs to call an external REST API that isn't available as a pre-built connector, and the API requires OAuth 2.0 authentication. What should you create?
Answer: C
NEW QUESTION # 16
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: D
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 # 17
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