AB-620 Übungsmaterialien & AB-620 realer Test & AB-620 Testvorbereitung

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Microsoft AB-620 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Test, deploy, and manage agents	20–25%	- Deploy and manage agent lifecycle 1. Prepare solutions for deployment 2. Update, version, and retire agents 3. Monitor usage, performance, and health 4. Implement application lifecycle management (ALM) - 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
Topic 2: Build and extend agents in Copilot Studio	40–45%	- Implement advanced capabilities 1. Add tools, actions, and automation 2. Implement computer-use and advanced action agents 3. Customize models and prompt engineering 4. Configure retrieval-augmented generation (RAG) - Develop agent flows and logic 1. Create and modify conversation flows 2. Implement conditional logic and branching 3. Design adaptive cards and user interfaces 4. Use Power Fx expressions and functions - Integrate with services and systems 1. Connect to Microsoft 365, Azure, and external enterprise systems 2. Connect to APIs, custom connectors, and Dataverse 3. Implement multi-agent solutions and orchestration 4. Integrate with Microsoft Foundry and MCP servers
Topic 3: Plan and configure agent solutions	30–35%	- Configure agent foundations 1. Define topics, triggers, and conversation flows 2. Configure knowledge sources and data connections 3. Design agent identity, personality, and instructions 4. Set up environment variables and configuration settings - Plan an agent solution 1. Define responsible AI and governance strategy 2. Plan channels and deployment options 3. Identify business requirements and use cases 4. Evaluate security, compliance, and data privacy considerations

Section

Weight

Objectives

Topic 1: Test, deploy, and manage agents

20–25%

- Deploy and manage agent lifecycle

1. Prepare solutions for deployment
2. Update, version, and retire agents
3. Monitor usage, performance, and health
4. Implement application lifecycle management (ALM)

- 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

Topic 2: Build and extend agents in Copilot Studio

40–45%

- Implement advanced capabilities

1. Add tools, actions, and automation
2. Implement computer-use and advanced action agents
3. Customize models and prompt engineering
4. Configure retrieval-augmented generation (RAG)

- Develop agent flows and logic

1. Create and modify conversation flows
2. Implement conditional logic and branching
3. Design adaptive cards and user interfaces
4. Use Power Fx expressions and functions

- Integrate with services and systems

1. Connect to Microsoft 365, Azure, and external enterprise systems
2. Connect to APIs, custom connectors, and Dataverse
3. Implement multi-agent solutions and orchestration
4. Integrate with Microsoft Foundry and MCP servers

Topic 3: Plan and configure agent solutions

30–35%

- Configure agent foundations

1. Define topics, triggers, and conversation flows
2. Configure knowledge sources and data connections
3. Design agent identity, personality, and instructions
4. Set up environment variables and configuration settings

- Plan an agent solution

1. Define responsible AI and governance strategy
2. Plan channels and deployment options
3. Identify business requirements and use cases
4. Evaluate security, compliance, and data privacy considerations

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AB-620 Lernhilfe - AB-620 Prüfungsmaterialien

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio AB-620 Prüfungsfragen mit Lösungen (Q31-Q36):

31. Frage
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.

Antwort:

Begründung:

32. Frage
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.

A. Configure prompt instructions that include disclaimer text.
B. Duplicate disclaimer text across reusable topics.
C. Add required disclaimer text inside each individual topic.
D. Insert HTML formatting directly into topic responses.
E. Use Markdown syntax within response content.

Antwort: A,E

Begründung:
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.

33. Frage
A company has an approved custom connector that uses a REST API for an internal system.
An agent in Copilot Studio must call this connector during conversations to retrieve or update data.
To meet the business needs, the solution must meet the following requirements:
Make the connector actions available for the agent to invoke.
Ensure authentication is handled at the service level, not per user.
Pass conversation context into the connector when it is called.
Surface the returned data of the connector to the user in the conversation.
You need to configure the agent and the connector action 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.

Antwort:

Begründung:

34. Frage
An agent in Copilot Studio must complete tasks by automating interactions with a legacy desktop application that does not use APIs.
During testing, the builder must confirm that the automation runs in a supported execution context and can inspect how each automation step executes during conversations.
To meet the business needs, the solution must:
- Execute UI automation in a supported, platform-managed environment.
- Provide visibility into how automation steps run during agent
conversations.
You need to configure the agent based on the requirements.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Enable computer use for the agent so UI automation runs in the supported execution environment.
B. Publish the agent so automation settings are applied at runtime.
C. Inspect automation execution details by using the agent runtime view.
D. Configure a custom connector to simulate UI interactions through REST calls.
E. Add the desktop application as a knowledge source so the agent can reference its UI structure.

Antwort: A,C

Begründung:
[B]
The agent runtime view / Activity page is where a builder checks real-time actions and logs. It explicitly provides visibility into how the orchestration engine is making decisions, running individual automation steps, and processing conversation flows.
[C]
Computer use is the precise feature in Copilot Studio designed to automate legacy applications that do not have APIs. Turning it on allows the agent to interact with user interfaces using a vision-based reasoning layer in a platform-managed environment.
Incorrect:
[Not A]
Publishing the agent makes the bot available to end-users on live channels. While it applies settings to production, publishing is a deployment step rather than a diagnostic or setup step used to confirm execution context or inspect granular automation steps while a builder is actively testing.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/configure-where-computer-use-runs

35. Frage
A team is standardizing ALM for agents in Copilot Studio.
The team requires a custom solution that includes agents. The solution must support ALM scenarios, such as managing and transporting agent assets across environments and pipeline deployments.
You need to create an ALM-ready custom solution in Copilot Studio.
What should you do?

A. Create a new custom solution from the Solutions area.
B. Export the agent directly and then import it into another environment.
C. Publish the agent to a channel and use that channel configuration as the ALM container.
D. Export the custom solution as a managed solution and import it into production.

Antwort: A

Begründung:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: The required first action is to create a custom solution from the Solutions area. A solution is the ALM carrier that groups the agent with its related components and enables controlled export, import, pipeline deployment, dependency management, and versioning across environments. Exporting an agent directly is not the supported replacement for solution-based ALM. A channel configuration determines where users can interact with a published agent; it is not a container for development assets. Exporting a managed solution and importing it into production is a later release step and cannot occur until the custom solution exists and contains the agent and its dependencies. After creation, the team should add the existing agent, associated flows, connection references, environment-variable definitions, prompts, and any other required components. Development normally occurs in an unmanaged solution, while a managed build is deployed to Test and Prod. This separation supports repeatable promotion, protects downstream environments from unmanaged edits, and provides a clearer rollback and support boundary. Study Guide alignment: Test and manage agents > Implement application lifecycle management for agents in Copilot Studio > Create a solution.

36. Frage
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