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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Test, deploy, and manage agents | 20–25% | - Test and validate agent performance
|
| Topic 2: Plan and configure agent solutions | 30–35% | - Plan an agent solution
|
| Topic 3: Build and extend agents in Copilot Studio | 40–45% | - Implement advanced capabilities
|
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NEW QUESTION # 89
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 # 90
Two Copilot Studio agents need to delegate tasks to each other directly, with each agent able to advertise its own capabilities to the other. Which two components are required? (Choose two.)
Answer: A,D
Explanation:
The Agent2Agent (A2A) protocol relies on an agent card (capability discovery) and an exposed A2A endpoint so one agent can securely discover and invoke another agent's capabilities.
NEW QUESTION # 91
A team is preparing to assess an agent in Copilot Studio before expanding access to additional users.
The team requires an evaluation that provides controlled, repeatable, and consistently measured test runs.
The evaluation must:
Be triggered directly by the team to control when testing occurs.
Determine success based on clearly established acceptance criteria.
Rely on a predefined set of inputs that ensures consistency across repeated runs.
Answer:
Explanation:
Explanation:
Controlled trigger # Execute the evaluation on demand; Acceptance criteria # Compare responses against defined expectations; Consistent repeated inputs # Use a curated prompt list as the interaction source.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: An on-demand evaluation gives the team explicit control over when the test is executed, which is appropriate before widening access or immediately after a meaningful change. Defined expectations convert the business acceptance criteria into measurable pass/fail or score-based judgments instead of relying on informal review.
A curated prompt list supplies the same input cases for each run, eliminating variation that would arise from live user conversations. Scheduling an evaluation is useful for continuous monitoring but would not meet the stated requirement that the team trigger it directly. Live conversations are valuable for discovering new cases, yet they are not a stable regression set because their content and distribution change over time. The curated set should cover knowledge retrieval, tool use, safety boundaries, authentication-dependent behavior, and common failure paths. Expected answers and expected resources should be specific enough to identify regressions without penalizing valid paraphrases. Once the evaluation is run, the team should inspect both aggregate scores and individual activity details before deciding whether the agent is ready for broader use.
Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method.
NEW QUESTION # 92
A company uses an agent flow that occasionally requires human input before continuing execution.
Some automated actions must pause until a human provides a decision or additional information. The flow must be configured to:
* Capture a human response for use in later steps.
* Continue processing within the same flow run after the response is submitted.
* Wait for a manual decision before proceeding.
You need to configure a human-in-the-loop agent flow.
Which setting should you configure for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Capture response # Use the action ' s response outputs in later steps; Continue the same run # Allow the action to wait for and return a response before continuing; Require a manual decision # Add a human approval action.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A human-in-the-loop flow must preserve execution state while it waits. The approval or information action pauses the current run and returns a response when the designated person acts; triggering a new flow would lose that direct continuation contract. The response outputs-decision, comments, supplied fields, responder, and timestamps as applicable-are then referenced by downstream conditions and actions. A human approval action provides the explicit decision gate required before processing continues. Sending a notification or message alone does not wait and cannot guarantee that the decision controls the flow. The designer should configure expiration, escalation, reassignment, and rejection paths so the run cannot remain suspended without governance.
Responses should be validated before use, and sensitive values should be protected in variables and history.
Test approval, rejection, timeout, duplicate response, and unauthorized response scenarios. These controls ensure that human oversight changes execution deterministically instead of acting as an informational side channel. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Create a human-in-the-loop agent flow.
NEW QUESTION # 93
A company must enable an agent in Copilot Studio to execute operations exposed by an external MCP server.
The MCP server publishes callable tools and requires authentication.
The agent must be able to invoke MCP tools during conversations.
You need to configure MCP tools so the agent can execute MCP tool calls.
What should you do?
Answer: D
NEW QUESTION # 94
......
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