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Microsoft AB-620 Exam Syllabus Topics:

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

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q102-Q107):

NEW QUESTION # 102
You need to plan how Fabrikam Inc. will reuse shared components across multiple agents while limiting who can change the shared components in Copilot Studio Lite.
Which approach should you use for each requirement? To answer, move the appropriate components to the correct requirements. You may use each component 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:
Prevent most builders from modifying shared assets # Share the component collection while controlling edit access; Reuse components without copying # Create a component collection and move the shared components into it; Limit use to the intended primary agent # Restrict the component collection to the primary agent.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A component collection is the correct reusable unit for the escalation topics, MCP definitions, and safety disclaimer. Moving those assets into one collection creates a maintained source that multiple agents can consume without copying and later diverging. Sharing the collection with teammates while controlling edit access separates use permission from modification permission, allowing agent authors to reference the assets while reserving changes for platform engineering. If a sensitive or tightly coupled collection must be usable only by one designated primary agent, the collection can be restricted accordingly. Exporting the primary agent and copying its components would recreate the duplication problem that Fabrikam is trying to eliminate, while restricting every collection to the primary agent would prevent the required cross-agent reuse. The collection should be versioned and tested after changes because a shared update can affect several consumers. Ownership, review, and release responsibilities should also be documented so that reuse does not become an uncontrolled dependency. This design provides consistency, centralized governance, and a smaller maintenance surface across the three agents. Study Guide alignment: Plan and configure agent solutions > Plan an agent solution > Plan reusable agent components.


NEW QUESTION # 103
A team is preparing to evaluate an agent in Copilot Studio before expanding access to additional users.
The team must choose an evaluation method that meets the following requirements:
Use a fixed set of prepared interactions.
Determine responses against a predefined baseline.
Support consistent comparison across repeated test runs.
You need to determine the evaluation method that satisfies the evaluation requirements.

Answer:

Explanation:

Explanation:
Fixed prepared interactions # Use a curated prompt list; Predefined baseline # Compare against predefined expected outcomes; Repeatable comparison # Use a consistent scoring evaluation matrix.
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A curated prompt list creates the controlled input population required for repeatability. Predefined expected outcomes establish what a correct or acceptable response should contain, which lets the evaluator judge performance against a baseline rather than against a reviewer ' s memory. A stable scoring matrix ensures that repeated runs are interpreted under the same thresholds and dimensions. Live conversations and post-rollout feedback can enrich the test inventory, but they cannot replace a fixed regression set because the questions, users, and context change. Publishing status confirms deployment, not response quality. General impressions are similarly unsuitable for consistent comparison. The team should select the scoring method according to the response type: semantic comparison for valid paraphrases, exact match for immutable values, keyword checks for mandatory phrases, and custom criteria for compliance or domain quality. Versioning the prompt list, expected answers, rubric, agent version, and knowledge snapshot is essential; otherwise a changed test set can be mistaken for a change in agent performance. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method.


NEW QUESTION # 104
A company is building an agent in Copilot Studio.
The agent must meet the following requirements:
Responses must be grounded in approved internal content.
The agent must be able to retrieve information from configured data sources in a topic.
You need to configure the agent so that topic responses are grounded from custom data sources.
What should you configure?

Answer: A

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A generative answers node inside the topic is the correct place to retrieve from configured knowledge sources for that specific conversational path. The node can use the user's message as input, search designated sources, and generate a grounded response from the retrieved content. Topic-level sources can override the broader agent-level set, which is useful when the topic must restrict itself to approved data. A custom prompt that merely instructs the model to use company information does not create or enforce a retrieval connection. Increasing the response limit affects length, not grounding. Analytics measures usage after the fact and cannot supply knowledge. Adding SharePoint only at agent level is unnecessarily narrow and would not satisfy the requirement for custom sources configured within the topic. The builder should enable Search only selected sources when strict scoping is required and turn off general knowledge if no ungrounded fallback is allowed. Testing should inspect both the answer and the resource details to confirm that the intended source supplied the evidence. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom knowledge sources.


NEW QUESTION # 105
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,C

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 # 106
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
A company is configuring an agent in Copilot Studio that uses a generative answers node inside multiple topics.
The company requires responses to meet the following requirements:
- Must use an executive summary format.
- Must apply only within a specific topic.
- Must continue using configured knowledge sources.
- Must comply with connector security controls.
You need to configure a custom prompt to meet the formatting requirements.
Solution: Configure the custom prompt tool at the topic level so that other topics are not affected.
Does the solution meet the goal?

Answer: B

Explanation:
Correct:
* Create a custom prompt tool in the specific topic that instructs the model to respond using an executive-summary structure.
To fulfill all the requirements in the best way, you must configure the custom instructions directly inside the specific Generative Answers node properties within that targeted topic.
By default, editing custom instructions at the global agent level or the Conversational boosting system topic applies globally. To scope formatting changes to only one topic while keeping configured data sources and security intact, you must override the instructions at the node level.
Incorrect:
* Add instructions in the custom prompt tool to restrict connector access during runtime.
* Configure the custom prompt tool at the topic level so that other topics are not affected.
* Remove the generative answers node and rely only on the custom prompt to produce formatted responses.
Reference:
https://learn.microsoft.com/en-us/microsoft-copilot-studio/nlu-boost-node


NEW QUESTION # 107
......

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