시험패스에유효한AB-620덤프덤프데모

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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Plan and configure agent solutions30–35%- Configure agent foundations
  • 1. Design agent identity, personality, and instructions
  • 2. Define topics, triggers, and conversation flows
  • 3. Configure knowledge sources and data connections
  • 4. Set up environment variables and configuration settings
- Plan an agent solution
  • 1. Define responsible AI and governance strategy
  • 2. Identify business requirements and use cases
  • 3. Plan channels and deployment options
  • 4. Evaluate security, compliance, and data privacy considerations
Test, deploy, and manage agents20–25%- Deploy and manage agent lifecycle
  • 1. Implement application lifecycle management (ALM)
  • 2. Monitor usage, performance, and health
  • 3. Update, version, and retire agents
  • 4. Prepare solutions for deployment
- Test and validate agent performance
  • 1. Debug and resolve errors or unexpected behavior
  • 2. Measure accuracy, relevance, and safety
  • 3. Create test cases and evaluation datasets
Build and extend agents in Copilot Studio40–45%- Integrate with services and systems
  • 1. Connect to Microsoft 365, Azure, and external enterprise systems
  • 2. Implement multi-agent solutions and orchestration
  • 3. Integrate with Microsoft Foundry and MCP servers
  • 4. Connect to APIs, custom connectors, and Dataverse
- Develop agent flows and logic
  • 1. Use Power Fx expressions and functions
  • 2. Implement conditional logic and branching
  • 3. Create and modify conversation flows
  • 4. Design adaptive cards and user interfaces
- Implement advanced capabilities
  • 1. Implement computer-use and advanced action agents
  • 2. Add tools, actions, and automation
  • 3. Customize models and prompt engineering
  • 4. Configure retrieval-augmented generation (RAG)

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AB-620덤프 인기자격증 시험자료

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최신 Microsoft Certified: AI Agent Builder Associate AB-620 무료샘플문제 (Q114-Q119):

질문 # 114
You need to evaluate whether the current configuration decisions for the Blue Yonder Copilot agent comply with the company ' s security and governance policies.
Which compliance status should you assign to each configuration decision? To answer, move the appropriate compliance statuses to the correct configuration decisions. You may use each compliance status 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.

정답:

설명:

Explanation:


질문 # 115
You run the same fixed test set three times in Copilot Studio.
During evaluation, you observe the following:
The same interaction fails in all three runs.
Score values range from 0.58 to 0.61.
The reasoning states that the response partially matches the expected answer.
The knowledge source that is used is internal documentation.
No tools are invoked.

정답:

설명:

Explanation:
Repeated failures # Evidence of a recurring pattern; Response-quality information # The response partially matches the expected answer; Evaluation limitation # The specific underlying cause cannot be determined from the score alone.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Three failures on the same fixed interaction, with scores tightly clustered between 0.58 and 0.61, provide evidence of a repeatable problem rather than an isolated stochastic miss. The evaluator ' s reasoning directly supports the conclusion that the response only partially represents the expected answer. The run also shows that internal documentation was retrieved and no tools were involved, which narrows the diagnostic path toward the knowledge, instructions, retrieval quality, or expected-answer design. It does not, however, prove a single root cause. A score and short reasoning statement cannot tell whether the source document is incomplete, the wrong passage ranked highly, the question is ambiguous, the model omitted a key condition, or the expected response is too strict. The next step is to inspect the test transcript, retrieved sources, activity map, and expected answer, then change one factor and rerun the same case. This disciplined triage distinguishes what the evaluation demonstrates from what still requires investigation and prevents an unsupported causal conclusion. Study Guide alignment: Test and manage agents > Evaluate agent performance > Review test results.


질문 # 116
A company is preparing an agent flow so that it can be invoked by an agent during conversations.
The agent flow must meet the following requirements:
The agent must be able to trigger the flow.
The agent flow must be verified.
You need to prepare an agent flow so that it can be used by the agent.
In which order should you perform the actions to prepare the agent flow? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.

정답:

설명:


질문 # 117
Case Study 2 - Fabrikam Inc.
Background
Fabrikam Inc. is a Canada-based manufacturer with a growing service organization that supports field technicians and internal operations teams. Fabrikam Inc. plans to launch a new internal agent solution named Operations Concierge to reduce time spent searching policy content, retrieving operational metrics, and executing routine transactions.
The agent will be used by three groups:
- Service coordinators who triage incoming service requests
- Field technicians who need guided procedures and parts availability
- Operations managers who monitor KPIs and exceptions
The agent solution must work in real-world operational conditions. Users often ask questions mid- call with a customer or while coordinating parts shipments. The agents require quick, reliable outcomes. As a result, Fabrikam Inc. requires the solution to:
- Provide grounded answers with traceability when it provides guidance.
- Retrieve real-time metrics when users ask for operational status.
- Execute authenticated updates when users initiate a flow (such as creating a parts request).
Fabrikam Inc. also expects the solution to be maintained by multiple makers and developers across the year. The company has experienced duplicated logic and inconsistent behavior across different agents. This project emphasizes reuse, governance, and maintainability across teams.
Current environment
Fabrikam Inc. runs three Microsoft Power Platform environments for agent development and release: Dev, Test, and Prod.
The team plans to build the agent and validate it in Dev and Test, then promote to Prod by using a controlled release process that supports repeatable deployments.
Fabrikam Inc. already has two assets the team wants to reuse:
- A partially completed Copilot Studio agent named Service Desk Agent, used by IT to create internal tickets and route requests
- A Microsoft Foundry agent created by a central AI team that performs specialized summarization and classification for long-form text (for example, summarizing call transcripts into an incident narrative) Fabrikam Inc. also has operational and knowledge data sources:
- A curated policy library (internal SOPs, service warranty rules, escalation criteria, and standard operating procedures)
- A set of indexed documents and procedures in an Azure AI Search service that supports vector search for the policy library
- A Microsoft Fabric workspace that includes a semantic model used by operations leadership for reporting Business requirements Fabrikam Inc. requires Operations Concierge to meet the following business requirements:
- Traceability requirement: When the agent provides policy guidance or procedural recommendations, users must be able to see where the answer came from.
- Metrics requirement: When users ask about service performance (backlog, SLA risk, parts shortages, dispatch delays), the solution must return up-to-date metrics in a structured format that operations managers can use in weekly reviews.
- Transaction requirement: The solution must support authenticated updates initiated during conversations, including creating a parts request and updating a service case status.
In addition, Fabrikam Inc. wants to avoid duplicating common assets across agents:
- The team must reuse the same set of escalation topics, MCP tool definitions, and a standard safety disclaimer across three different agents.
- Only the platform engineering group as allowed to edit shared assets. However, all agent authors must be able to use them.
Technical requirements
The Fabrikam Inc. solution architecture uses a multi-agent approach so that specialist responsibilities are isolated and can evolve independently.
The Operations Concierge (primary agent) must coordinate the following specialist capabilities:
- Policy and procedure Q&A: Use an enterprise knowledge source that supports indexed retrieval across the curated policy library and service procedures.
- Operational metrics: Delegate metric queries to a Fabric Data Agent that reads governed business data through the Fabric semantic model.
- Authenticated updates: Use tools exposed by an existing internal Model Context Protocol (MCP) server that provides transactional operations for the service organization.
- Specialized processing: Delegate summarization and classification requests to an existing Microsoft Foundry agent.
Fabrikam Inc. will onboard two MCP servers as tools:
- PartsOps MCP server: exposes tools for parts availability checks and parts request creation.
The server requires per-user authentication because actions must be traceable to the requesting user.
- WarrantyRules MCP server: exposes a read-only tool for validating warranty coverage. The server uses an API key shared by the agent team.
Fabrikam Inc. has also defined a collaboration requirement with the existing Service Desk Agent:
- The primary agent must delegate IT-specific requests to the existing Service Desk Agent rather than reimplement ticket creation logic.
Finally, Fabrikarn Inc. plans to support a partner integration:
- For shipment tracking inquiries, Fabrikam Inc. will delegate to a partner-provided agent that is only available through a standardized agent-to-agent endpoint.
Issues and constraints
During early testing, Fabrikam Inc. found three recurring problems:
- Makers are copying and modifying the same components across agents, resulting in inconsistent disclaimers and duplicated tools.
- Users can obtain a correct answer, but the response is not consistently traceable to a source when the agent uses knowledge.
- The primary agent can route some requests, but specialist capabilities are not consistently delegated (for example, some metric questions are answered generatively instead of being routed to the Fabric Data Agent).
You are part of the engineering team responsible for correcting the design and configuration to meet the preceding requirements and constraints.
You need to enable Operations Concierge to delegate shipment tracking inquiries according to Fabrikam Inc.'s defined architecture and technical requirements.
Which integration approach should you use?

정답:B

설명:
In Microsoft Copilot Studio, when you need your primary agent to interact with a cross-platform, external agent owned by a partner organization, you use the standardized open Agent2Agent (A2A) protocol.
Scenario:
Fabrikarn Inc. plans to support a partner integration:
For shipment tracking inquiries, Fabrikam Inc. will delegate to a partner-provided agent that is only available through a standardized agent-to-agent endpoint.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/add-agent-agent-to-agent


질문 # 118
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.

정답:

설명:


질문 # 119
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