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Microsoft AB-620 Exam Syllabus Topics:

SectionWeightObjectives
Test, deploy, and manage agents20โ€“25%- Deploy and manage agent lifecycle
  • 1. Prepare solutions for deployment
  • 2. Update, version, and retire agents
  • 3. Implement application lifecycle management (ALM)
  • 4. Monitor usage, performance, and health
- Test and validate agent performance
  • 1. Create test cases and evaluation datasets
  • 2. Debug and resolve errors or unexpected behavior
  • 3. Measure accuracy, relevance, and safety
Build and extend agents in Copilot Studio40โ€“45%- Integrate with services and systems
  • 1. Integrate with Microsoft Foundry and MCP servers
  • 2. Implement multi-agent solutions and orchestration
  • 3. Connect to APIs, custom connectors, and Dataverse
  • 4. Connect to Microsoft 365, Azure, and external enterprise systems
- 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
- Implement advanced capabilities
  • 1. Implement computer-use and advanced action agents
  • 2. Add tools, actions, and automation
  • 3. Configure retrieval-augmented generation (RAG)
  • 4. Customize models and prompt engineering
Plan and configure agent solutions30โ€“35%- Plan an agent solution
  • 1. Evaluate security, compliance, and data privacy considerations
  • 2. Identify business requirements and use cases
  • 3. Define responsible AI and governance strategy
  • 4. Plan channels and deployment options
- Configure agent foundations
  • 1. Configure knowledge sources and data connections
  • 2. Set up environment variables and configuration settings
  • 3. Design agent identity, personality, and instructions
  • 4. Define topics, triggers, and conversation flows

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Microsoft Designing and Building Integrated AI Agent Solutions in Copilot Studio Sample Questions (Q71-Q76):

NEW QUESTION # 71
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.

Answer:

Explanation:


NEW QUESTION # 72
A company uses an agent in Copilot Studio to generate structured responses for internal users. The agent must meet the following requirements:
* Consistently follow a reusable instruction template for response tone and structure.
* Use an enterprise-approved foundation model for responses generated through the template.
You need to configure custom prompts so that the agent uses the Microsoft Foundry model catalog. Which two actions should you perform? Each correct answer presents part of the solution. Choose two.
NOTE: Each correct selection is worth one point.

Answer: A,E

Explanation:
A custom prompt provides a reusable instruction template that controls how the model performs a specific task. The template can define tone, output structure, formatting, constraints, examples, and fallback behavior.
It can then be added as an agent-level tool, called from a topic, or used within an agent flow. This makes option A the correct mechanism for applying consistent instructions wherever the structured response is generated.
The prompt's model is configured separately in the prompt editor. The builder selects the required enterprise- approved model from the Model field or connects an approved deployment from the Microsoft Foundry model catalog. After that model is selected for the custom prompt, every execution of that prompt uses the selected model, making option E correct.
Publishing does not automatically select an appropriate Foundry model; the model must be explicitly configured. Azure AI Search controls retrieval and grounding, not model selection. Citations provide source traceability but do not limit execution to approved models. Defining instructions independently in individual topics would duplicate configuration and weaken consistency.
Relevant AB-620 study-guide topics are Configure advanced agent responses with custom prompts and Configure custom prompts to use the Foundry model catalog . See Use prompts in Copilot Studio and Use Foundry models for prompts .


NEW QUESTION # 73
An agent calls a flow that intermittently produces unexpected results during execution. The agent behaves inconsistently.
You need to investigate agent flow executions to diagnose the issue.
Which two actions should you use? Each correct answer presents a complete solution. Choose two. NOTE:
Each correct selection is worth one point.

Answer: E,F

Explanation:
Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Flow run history provides the chronological record needed to identify which executions succeeded, failed, timed out, or behaved differently. Opening the failed run details then exposes the action-level inputs, outputs, status, duration, connection errors, and failure message that explain the inconsistent result. These two views support evidence-based diagnosis without changing the flow before the cause is known. Updating the trigger, increasing a timeout, or changing connection behavior are potential remediations only after the failure pattern has been established. The Analytics summary is useful for aggregate trends but lacks the full payload and step sequence of an individual run. The Activity tab ' s Error column can help locate failures, but the question asks for the two complete diagnostic actions and the detailed run inspection is the more direct evidence. Reviewers should compare a failed run with a successful run using the same input, check transient versus deterministic errors, and redact or restrict access to sensitive data captured in run history. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Monitor agent flows.


NEW QUESTION # 74
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.

Answer:

Explanation:

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.


NEW QUESTION # 75
A company uses an agent flow that calls a connector action. The flow sends an administrative notification if the action fails or times out.
Administrators require the following configuration to help troubleshoot and manage failures:
- Handle failure and timeout outcomes explicitly.
- Continue execution after a failure is handled.
- Avoid retrying the failed action automatically.
You need to configure the agent flow so that failures are handled in a controlled and predictable way.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

Answer: A,C

Explanation:
To handle failures and timeouts explicitly without automatic retries while ensuring the flow continues, take these two configuration steps in the Power Automate designer:
[D] Configure Run After settings on the notification/recovery step to trigger on "has failed" and
"has timed out" status options from the primary connector action.
[B] Scope Actions: Grouping your connector action and its immediate steps inside a Scope action allows you to centrally manage errors. You can set the subsequent administrative notification to run only if the entire Scope fails or times out. This satisfies the requirement to handle failure and timeout outcomes explicitly in a clean, predictable way Reference:
https://d365demystified.com/2022/01/20/try-catch-error-handling-using-scope-in-power-automate/


NEW QUESTION # 76
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