Microsoft AB-620 Practice Exam Questions & Answers

5 Free Questions · Last reviewed: August 31, 2026 · Prepared & Reviewed by the ValidExamDumps Editorial Team

Exam Facts

Microsoft AB-620 Exam Details

Key details for this exam, checked against the published exam outline

94 Practice Questions (Our Bank)
120 minutes Exam Duration
700 out of 1000 Passing Score
USD 165 Exam Fee
Exam Code
AB-620
Full Name
Exam AB-620: Designing and Building Integrated AI Agent Solutions in Copilot Studio
Issuing Body
Microsoft
Question Format (Our Bank)
Multiple Choice, Drag & Drop, Hotspot, Case Studies
Delivery
Online proctored or at a Pearson VUE test center
Eligibility
None required
Validity
Valid for 1 year, renewable annually by free online assessment on Microsoft Learn
Practice Questions

Free AB-620 Practice Questions

Each question shows the correct answer and an explanation of why it is right

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ValidExamDumps Editorial Team Every question and its answer is checked by our AB-620 exam preparation team, who also write the explanation shown with each one. How we research and review these pages

A solution architect is implementing a governance process for an agent developed in Copilot Studio. Before the agent is moved to production, the organization requires a standardized validation process to ensure that updates to the underlying knowledge base do not cause regressions in response accuracy.

The validation process must satisfy the following technical criteria:

Consistency: Execute a fixed library of test cases containing specific user prompts.

Grounding: Measure the quality of the generated output against a verified "golden" response.

Comparison: Provide a performance delta between the current version and previous test runs.

You need to choose an evaluation method that meets the requirements.

What should you use?

Correct Answer: D
Explanation

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: A predefined test set with expected outcomes is the only option that satisfies consistency, grounding comparison, and repeatable regression analysis. The fixed prompts ensure that each version receives the same inputs. Verified expected responses provide the baseline against which meaning, quality, keywords, or exact output can be scored. Rerunning the same set produces comparable results over time, allowing the team to calculate whether a knowledge-base change improved or degraded performance. The manual test pane is valuable for interactive debugging and inspecting the activity map, but it does not provide the same controlled batch or historical comparison. Channel usage metrics describe adoption and operational behavior, not response correctness. Transcript keyword searches can reveal patterns after deployment but do not establish a golden answer or a controlled experiment. The evaluation method should match the content: compare-meaning for legitimate paraphrases, exact match for fixed values, keyword match for required terms, or a custom rubric for domain-specific quality. Results should be retained or exported when a longer audit history is required. Study Guide alignment: Test and manage agents > Evaluate agent performance > Create a test set; Choose an evaluation method; Review test results.

Users can add content to a paragraph field in a team-managed project, but they cannot @mention other users.

Identify the cause.

Correct Answer: A
Explanation

Comprehensive and Detailed Explanation From [Atlassian Jira Cloud Documentation]

The cause is the Jira Browse users and groups global permission. Atlassian states that users with this permission can view user names when working with user-picker fields or @mentioning users. Without it, Jira cannot provide the affected users with the complete user directory required to search for and select another person through an @mention.

The fact that users can enter and save ordinary text in the paragraph field confirms that the field is present, editable, and available on the applicable work-item layout. Therefore, field settings and screen settings are not responsible. Notification settings determine how users receive updates after an event and do not control whether names appear in the mention picker.

Project permissions and issue-level security can affect whether a particular person can access the project or work item. However, a general inability to search for or mention other users indicates that the initiating users lack the site-wide user-browsing capability.

A Jira administrator should review Settings System Global permissions and grant Browse users and groups to an appropriate group containing the affected users, subject to the organization's privacy policies.

Relevant documentation topic: Jira Cloud administration Global permissions Browse users and groups. See What are global permissions, and what do they control?.

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: Remove the generative answers node and rely only on the custom prompt to produce formatted responses.

Does the solution meet the goal?

Correct Answer: B
Explanation

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Removing the generative answers node eliminates the component that searches the configured knowledge sources and produces the grounded topic response. A standalone custom prompt can format or transform supplied input, but it does not automatically inherit the topic's selected knowledge sources or reproduce the node's retrieval behavior. The resulting answer could therefore have the requested executive-summary style while failing the grounding requirement. The correct design retains the generative answers node and applies topic-scoped custom instructions to its response, or captures the grounded output in a variable and sends that content through a carefully configured formatting prompt. General knowledge should remain disabled when the topic must use only approved enterprise sources. Connector security and data policies continue to govern the actual source connections and cannot be replaced by prompt text. The proposed removal is consequently not a valid solution. Validation should inspect the retrieved sources, generated answer, final format, and behavior when no authorized source returns relevant content. Study Guide alignment: Plan and configure agent solutions > Configure topics > Configure generative answers node; Configure advanced agent responses with custom prompts.

You are designing an agent for external customers that must comply with responsible AI principles. The agent will make recommendations about financial products. What is a critical responsible AI consideration you must address in your agent design?

Correct Answer: A
Explanation

Responsible AI for financial recommendations requires transparency (users must understand how recommendations are derived), grounding (citations of data sources), confidence indicators, and guardrails (disclaimers and constraints preventing the agent from acting as a fiduciary or making guarantees). This reduces harm and builds trust. Using the most advanced model without constraints does not address responsibility. Enabling the agent to give legal financial advice creates liability. Disabling audit logging violates governance and transparency principles.

An agent uses a flow that calls an external service which can occasionally fail or time out.

When a failure occurs, the agent must meet the following requirements:

Must not terminate silently.

Must send a notification containing the error details.

You need to configure the agent flow so that failures are handled in a controlled and predictable way.

Solution: Configure run after conditions for failure paths.

Does the solution meet the goal?

Correct Answer: A
Explanation

Comprehensive and Detailed Explanation From Microsoft AB-620 Study Guide: Configure run after is the control that routes execution to an error-handling action when the external-service action fails, times out, is skipped, or reaches another selected status. By configuring the notification action to run after failure and timeout, the flow no longer terminates silently and can send a message containing sanitized error context. The handler can then set a deliberate flow status, record a correlation ID, and provide the operator with the failed action and remediation path. This design should be paired with an appropriate retry policy based on whether the external operation is safe to repeat. For non-idempotent writes, automatic retry may create duplicates and should generally be disabled or protected with an idempotency key. Error notifications must not include tokens, secrets, or unrestricted payloads. Testing should deliberately produce an authorization failure, timeout, and service error to prove that each status enters the handler and that the notification itself has a fallback if its connector is unavailable. Study Guide alignment: Plan and configure agent solutions > Create and monitor agent flows in Copilot Studio > Implement error handling in agent flows.

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Study Guide

What the Microsoft AB-620 Exam Covers

Exam domains verified against: Official Microsoft AB-620 exam guide, last checked August 2026.

Domain 1: Plan and configure agent solutions 30% - 35%

Design agents for internal or external audiences while planning integration with enterprise systems and identity strategy. Evaluate security and governance considerations alongside responsible AI strategy and plan reusable agent components and deployment channels.

Sample question from this domain above: Q3

Domain 2: Create and monitor agent flows in Copilot Studio

Build agent flows including human-in-the-loop scenarios, configure topics with advanced responses and custom prompts, and manage variables and error handling. Add input and output parameters and implement generative answers with adaptive cards and API integrations.

Sample question from this domain above: Q4

Domain 3: Configure topics

Add agent flows to topics, configure response formatting and tools, and manage generative answers with custom knowledge sources. Implement advanced configurations with custom prompts and adaptive cards.

Domain 4: Integrate and extend agents in Copilot Studio 40% - 45%

Connect to enterprise knowledge sources including Azure AI Search and Copilot connectors. Configure MCP tools and computer use, then implement multi-agent collaboration using Foundry agents, Fabric data agents, and the A2A protocol.

Domain 5: Connect to enterprise knowledge sources

Integrate with Azure AI Search, Microsoft Power Platform connectors, and Copilot connectors. Configure generative answers and custom prompts with Foundry model catalog support.

Sample question from this domain above: Q2

Domain 6: Add tools to agents

Configure and monitor computer use capabilities for agents. Add REST APIs, custom connectors, and Model Context Protocol tools to extend agent functionality.

Sample question from this domain above: Q5

Domain 7: Configure multi-agent collaboration from Copilot Studio

Design multi-agent solutions and integrate Foundry agents, Fabric data agents, and existing agents. Create solutions using the Agent2Agent (A2A) protocol for cross-platform orchestration.

Sample question from this domain above: Q1

Domain 8: Integrate agents with Azure

Configure generative answers using Azure AI Search with Foundry and custom prompts with Foundry model catalog. Monitor agents using Application Insights for performance tracking.

Domain 9: Test and manage agents 20% - 25%

Evaluate agent performance by creating test sets and choosing evaluation methods, then review results. Implement application lifecycle management including solution creation, environment variables, and Microsoft Power Platform Pipelines extension.

Domain 10: Evaluate agent performance

Create and execute test sets for agents using appropriate evaluation methods. Review test results to validate agent behavior and performance before production deployment.

Domain 11: Implement application lifecycle management (ALM) for agents in Copilot Studio

Create solutions and add existing agents to them while managing environment variables. Implement and extend Microsoft Power Platform Pipelines for deployment automation.

FAQ

AB-620 Exam FAQ

Common questions about the exam itself

How hard is the AB-620 exam compared to other Microsoft certifications?
AB-620 is an intermediate associate-level exam targeting professional developers and advanced builders, not beginners. It assumes you already work with Copilot Studio, understand REST APIs, and have intermediate generative AI knowledge including RAG, MCP, and A2A protocols. Most candidates with solid Power Platform and Copilot Studio experience need four to eight weeks of focused study and hands-on practice.
What background do I need before sitting AB-620?
There are no formal prerequisites, but you should be familiar with Power Fx, Microsoft Dataverse, Microsoft Power Platform environments, Microsoft 365 Copilot, Microsoft Foundry, and adaptive cards. You need intermediate knowledge of generative AI concepts and practical experience with prompt engineering, REST APIs, and building agents in Copilot Studio.
Which AB-620 domain is hardest and how should I prepare?
The Integrate and Extend Agents domain (40-45% of the exam) covers the most ground and combines REST APIs, custom connectors, MCP tools, multi-agent patterns, and Azure integration. Focus your practice on connecting agents to external systems, configuring computer use, and orchestrating multi-agent solutions before you tackle planning or testing domains.
How long should I prepare for AB-620?
Microsoft does not publish an official preparation timeline. With prior Copilot Studio and Power Platform experience, budget four to eight weeks of focused study and hands-on labs. If you are new to Microsoft Foundry or application lifecycle management, plan longer. The official three-day instructor-led course gives you a foundation, but hands-on practice matters more than classroom time.
What happens on AB-620 exam day?
You will have 120 minutes to answer 40 to 60 questions. The exam is proctored, either online with Pearson VUE from your home or office (with proctor monitoring via webcam and microphone), or in person at a Pearson VUE test center. Ensure your government-issued ID matches your Microsoft certification profile exactly, and if testing online, confirm your setup meets Pearson requirements before the exam starts.
What are the retake rules for AB-620?
If you fail on your first attempt, you must wait 24 hours before retaking. After a second failure you must wait 14 days before the third attempt, with the same 14-day wait before each further attempt. You can attempt the exam a maximum of five times within a 12-month period, and you pay the exam fee each time.
How long does the AB-620 certification stay valid and what does renewal involve?
The AB-620 certification is valid for one year from when you pass. To renew, you must pass a free online assessment on Microsoft Learn before the certification expires. There is no additional exam fee for renewal, but you need to complete the renewal assessment by your expiry date or the credential lapses.
What job role does AB-620 align with?
AB-620 is designed for IT application developers, consultants, and independent software vendor partners who build, extend, and integrate custom agents for enterprise solutions. You might be a Copilot Studio developer, Power Platform developer working with agents, or solutions consultant delivering AI-powered business automation on the Microsoft stack.
How does AB-620 relate to other Microsoft AI and Power Platform certifications?
AB-620 (AI Agent Builder Associate) is the developer's certification for building agents in Copilot Studio. AB-410 (Intelligent Applications Builder) covers broader intelligent application patterns. AB-100 is the architect-level certification for agentic AI solutions. AB-900 is the AI fundamentals exam (it does not expire). Consider AB-620 if you code agents. consider AB-410 if you build intelligent apps using Power Platform more broadly.
What makes AB-620 different from the older Copilot Studio agents Applied Skill?
The applied skill certified basic agent building but was free and did not expire. AB-620 is a full Associate certification requiring the exam fee and annual renewal. It expects deeper knowledge of enterprise integration patterns, multiple agent collaboration, Azure integration, and application lifecycle management alongside agent development fundamentals.