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AB-620 Practice Questions and Answers: 2026 Sample Exam Walkthrough

Ten original AB-620 practice questions with worked answers, covering agent planning, Copilot Studio integration and lifecycle management, plus the question formats, open-book rules and scoring facts you need before booking.

ET

Examinotion Team

20 min read7 August 2026Updated: 9 August 2026
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AB-620 Practice Questions and Answers: 2026 Sample Exam Walkthrough

Last updated: August 2026

TL;DR Microsoft has not released an official practice assessment for AB-620 yet, so there are no sanctioned sample questions in circulation. This walkthrough gives you ten original scenario questions written to the published skills outline, covering agent planning, integration and lifecycle management, with worked explanations for every answer.

Exam AB-620 (Designing and Building Integrated AI Agent Solutions in Copilot Studio) is the single exam route to the Microsoft Certified: AI Agent Builder Associate certification [2]. It is a builder's exam rather than a concepts exam, and the questions reflect that: you are expected to choose between two workable configurations and justify the better one. Every AB-620 practice question below was written by the Examinotion team against the official skills outline. If you are earlier in your preparation, start with the AB-620 exam guide, then come back here to test yourself.

What the AB-620 exam actually tests

AB-620 measures three skill domains, and Microsoft publishes the weighting of each in the official study guide [1].

Domain (verbatim) Weighting
Plan and configure agent solutions 30-35%
Integrate and extend agents in Copilot Studio 40-45%
Test and manage agents 20-25%

The middle domain is the exam. Enterprise knowledge sources, tools, multi-agent collaboration and Azure integration together account for 40-45% of your score [1], so that is where finite revision time should go.

One piece of colour: the study guide is inconsistent about its own title. Its heading reads "Designing and Building Integrated AI Solutions in Copilot Studio", while the same page's metadata reads "Integrated AI Agent Solutions in Copilot Studio" [1]. Nothing in the skills outline changes as a result.

Fact Detail
Time allowed 120 minutes for the assessment [2]
Passing score 700 or greater [1]
Question count Not published per exam; Microsoft's general guidance is 40-60 questions, though Microsoft does not publish a per-exam count [3]
Languages 13, including English, Japanese, German, French, Spanish and Chinese Simplified [2]
Price Varies by country or region in which the exam is proctored [2]
Renewal Associate certifications expire annually and renew via a free online assessment on Microsoft Learn [2]

Two caveats. The question count is genuinely unknown for AB-620, so anyone quoting an exact number is guessing, and the price is not a fixed global figure. The study guide is rough in places too, carrying two duplicate "Study resources" tables with conflicting links [1]. For a structured route through the skills, the AB-620 study guide maps each outline bullet to the concepts you need.

Question formats you will meet on the AB-620 exam

Microsoft will not tell you which formats appear on any given exam: to protect exam security and the value of the certifications, it does not identify specific exam formats or question types before the exam [3]. It does publish the catalogue of formats used across its programme.

  • Multiple choice: one correct answer from four or five options.
  • Multiple response: "Select two" or "Select three". Partial credit is not typically awarded, so a half-right answer scores nothing.
  • Drag and drop: match items to targets, or order steps in a sequence.
  • Hot area: click the correct region of an image, usually a configuration blade.
  • Active screen: set dropdowns and toggles in a simulated interface.
  • Build list: assemble an ordered list of actions from a larger pool. Order counts.
  • Case studies: a multi-page scenario with requirements and constraints, followed by several questions on the same brief.
  • Problem and solution sets: a repeated scenario with a different proposed solution each time, answered yes or no. You cannot return to earlier items once you move on.

Microsoft offers a free exam sandbox at aka.ms/examdemo demonstrating active screen, build list, case studies, drag and drop, hot area, multiple choice, labs, mark review and review screen interactions [3]. It takes twenty minutes and removes a whole category of exam-day stress. One caveat: Microsoft does not publish which exams include labs, and the AB-620 page states only that you may have interactive components to complete [2].

Why there are no official AB-620 practice questions yet

This is the most useful fact for anyone searching for AB-620 sample questions right now. Microsoft's certification page states plainly that "The Practice Assessment for this exam is not currently available. Practice Assessments are usually available within 8 weeks of the exam being out of beta and generally available" [2].

That is a real gap. For most Microsoft exams the free official practice assessment is the highest-quality preparation resource available, and it is what candidates lean on hardest in the final fortnight. AB-620 candidates do not have it, and the instructor-led course AB-620T00-A is not live either; Microsoft states it will be available from 18 September 2026 [5]. The Microsoft beta exam guide covers how early-cycle exams differ from mature ones.

Every question below, and every question in Examinotion's AB-620 practice tests, is original and written against the published skills outline. None reproduces, paraphrases or imitates real exam content, and Examinotion does not source material from any site claiming to supply real questions.

Sample AB-620 practice questions: planning and configuring agent solutions

This domain covers planning an agent solution, creating and monitoring agent flows in Microsoft Copilot Studio, and configuring topics [1].

Question 1

A logistics organisation is building an agent in Microsoft Copilot Studio for delivery enquiries. Users phrase questions inconsistently, from "where is my parcel" to "the driver never turned up yesterday". The team authored a single topic with detailed instructions and a handful of trigger phrases, but it fires inconsistently and loses the thread when a user changes subject mid-conversation. What should the team change first?

  • A. Add another twenty trigger phrases to the existing topic
  • B. Enable generative orchestration so the agent selects topics and tools from their descriptions rather than trigger-phrase matching alone
  • C. Split the topic into four smaller topics, each with its own trigger phrases
  • D. Move the instructions from the topic into the agent's global instructions

Answer: B

Why: Trigger-phrase matching degrades exactly as described: inconsistent phrasing misses, and mid-conversation switching is not handled gracefully. Generative orchestration changes the selection model so the agent reasons over topic and tool descriptions to decide what to invoke, and can chain topics in one turn. Adding trigger phrases (A) treats the symptom. Splitting the topic (C) multiplies the same weakness. Moving instructions to the global level (D) affects tone, not topic selection.

Question 2

A finance team is building an agent flow in Microsoft Copilot Studio that processes supplier invoice adjustments. Adjustments below a defined threshold should apply automatically. Those at or above it must be reviewed by a named approver, and the flow must resume from the same point once the decision returns. Which design satisfies the requirement?

  • A. Add a condition in the agent flow, and on the high-value branch use a human-in-the-loop approval action that pauses the flow until a decision returns
  • B. Configure the topic to ask the end user to confirm the adjustment before calling the flow
  • C. Write high-value adjustments to a Dataverse table and build a separate scheduled flow to process them nightly
  • D. Set the agent's global instructions to state that adjustments above the threshold require approval

Answer: A

Why: The requirement has two hard parts: routing on value, and pause-and-resume around an approval from a specific person. Agent flows support a human-in-the-loop pattern where the flow suspends at an approval step and continues from that point once the decision returns, and a condition handles the routing. Option B asks the wrong person. Option C introduces a batch delay and breaks the resume requirement. Option D is an instruction to a model, not an enforced control.

Question 3

An organisation is planning a customer-facing agent that will summarise account information and draft responses. The programme lead has asked for a responsible AI plan before build begins. Which two planning activities belong in that plan? Select two.

  • A. Define the agent's intended use cases and the scenarios explicitly out of scope
  • B. Choose the Microsoft Foundry model from the model catalogue with the lowest inference latency
  • C. Plan the identity strategy for how the agent authenticates to downstream systems and whose permissions apply
  • D. Configure Application Insights sampling to reduce telemetry volume

Answer: A and C

Why: The skills outline places responsible AI within the planning domain, alongside evaluating security and governance considerations and planning an identity strategy [1]. Defining intended use and out-of-scope scenarios (A) bounds what the agent may attempt. Identity strategy (C) has direct responsible AI consequences, since whether the agent acts as itself or on behalf of the signed-in user determines what data it surfaces to whom. Option B is a performance decision, and option D a telemetry setting made after deployment.

Sample AB-620 exam questions: integrating and extending agents

This is the heaviest domain at 40-45%, covering enterprise knowledge sources, tools, multi-agent collaboration and Azure integration [1].

Question 4

A manufacturing organisation wants its Microsoft Copilot Studio agent to answer policy questions from a SharePoint document library, and to create a ticket in a line-of-business system when a user reports a fault. A developer proposes adding the SharePoint library as a tool and the ticketing system as a knowledge source. What is wrong with this proposal?

  • A. Nothing, the proposal is correct as described
  • B. Both should be knowledge sources, because the agent needs to read from each system
  • C. The assignments are reversed: SharePoint should be a knowledge source for grounded retrieval, and the ticketing system should be a tool that performs an action
  • D. Both should be tools, because Copilot Studio retrieves SharePoint content through a connector action

Answer: C

Why: Knowledge sources and tools serve different functions. A knowledge source is content the agent retrieves from to ground its answers, which is what a policy document library is. A tool is an action the agent invokes in another system, which is what raising a ticket is. The developer has inverted both. Option B fails because creating a ticket is a write action. Option D forfeits the citation and grounding behaviour that makes document-library answers trustworthy.

Question 5

A retail organisation exposes an internal inventory service as a REST API. The platform team has published a Model Context Protocol (MCP) server in front of it, exposing several operations with structured tool descriptions. The Copilot Studio maker needs three of those operations, and the team will add more over the coming months. What should the maker do?

  • A. Build a custom connector for each of the three operations and rebuild whenever an operation is added
  • B. Add the MCP server to the agent as a tool, so the agent discovers the exposed operations from the server
  • C. Call the REST API directly from an agent flow using an HTTP action for each operation
  • D. Add the REST API as a knowledge source so the agent can query inventory in natural language

Answer: B

Why: Model Context Protocol (MCP) exists to solve this maintenance problem. Because the MCP server advertises its own tool definitions, adding the server surfaces the available operations without hand-authoring an integration per operation, and new server-side operations become available without a rebuild. Option A works but creates the recurring burden the scenario calls out. Option C is equally brittle here. Option D misclassifies an action-performing API as retrievable content.

Question 6

Scenario: An insurance organisation runs a claims triage agent in Microsoft Copilot Studio. A separate specialist agent, hosted in Microsoft Foundry, classifies claim attachments. The Copilot Studio agent must delegate classification to it during a conversation, receive the result and continue using it. The two agents must remain independently maintained by their respective teams.

Proposed solution: Rebuild the classification logic as a set of topics inside the Copilot Studio agent, so no cross-agent call is required.

Does the proposed solution meet the goal?

  • A. Yes, because consolidating logic into one agent reduces integration complexity
  • B. Yes, because Copilot Studio topics can host the same classification model used in Microsoft Foundry
  • C. No, because the requirement is multi-agent delegation, and the Foundry agent should instead be connected to the Copilot Studio agent and invoked as a specialist agent
  • D. No, because document classification cannot be performed by any agent and must run in a scheduled agent flow

Answer: C

Why: The scenario sets a hard constraint that the two agents remain independently maintained by separate teams. Rebuilding the classification logic inside Copilot Studio violates that and duplicates an existing capability. The skills outline covers multi-agent collaboration from Copilot Studio, including creating a multi-agent solution using the A2A protocol and integrating a Foundry agent [1], which is this pattern exactly: one agent delegates a bounded task to a specialist and resumes with the result. Option D is simply false.

Question 7

A professional services organisation has a corpus of project reports indexed in Azure AI Search with semantic ranking configured. Its Copilot Studio agent must answer questions from that corpus and show which document each answer came from. Separately, a data team maintains curated Fabric datasets the agent must query for numeric metrics. Which combination should the maker configure?

  • A. Add the Azure AI Search index as a knowledge source, and add a Fabric data agent for the numeric metric questions
  • B. Add both the Azure AI Search index and the Fabric datasets as tools
  • C. Export the Azure AI Search index into a SharePoint library and use that as the sole knowledge source
  • D. Add the Azure AI Search index as a knowledge source, and query the Fabric datasets with a custom connector calling the underlying storage

Answer: A

Why: These are two different retrieval problems with a purpose-built answer each. An existing Azure AI Search index with semantic ranking is a supported knowledge source, and grounding on it preserves the citation behaviour the organisation needs. Numeric questions over curated Fabric data are what a Fabric data agent addresses, and integrating one is explicitly in the skills outline [1]. Option B loses grounding and citations, option C discards a working index, and option D reinvents the Fabric data agent.

Sample AB-620 questions: testing and managing agents

The final domain covers evaluating agent performance and implementing application lifecycle management (ALM) for agents in Copilot Studio [1].

Question 8

A public sector organisation deployed a Copilot Studio agent for internal HR enquiries. Two weeks after go-live, the service desk reports it answers confidently but sometimes cites the wrong policy document. The build team wants a repeatable way to measure whether changes to the knowledge configuration improve or worsen answer quality. What should they establish?

  • A. A set of representative test questions with expected answers and sources, run after each change so results can be compared across versions
  • B. A weekly user satisfaction survey sent to everyone who used the agent
  • C. An alert that fires whenever response latency exceeds a threshold
  • D. A rule routing every HR enquiry to a human agent until the issue is resolved

Answer: A

Why: The requirement is repeatable measurement of answer quality across configuration changes, which is an evaluation problem rather than a monitoring one. A fixed set of questions with expected answers and expected citations gives a stable baseline, so a change that fixes one category of error but breaks another becomes visible immediately. Option B produces slow, noisy signal. Option C measures speed, and a confidently wrong answer can be fast. Option D abandons the measurement requirement.

Question 9

An operations team needs to understand how a production Copilot Studio agent behaves at scale: how often topics are triggered, where conversations fail to resolve, and how often a tool call returns errors. They want this data queryable alongside telemetry from the organisation's other Azure workloads. What should they configure?

  • A. Export the agent's conversation transcripts to a SharePoint library each week
  • B. Connect the agent to Application Insights so agent telemetry is captured and queryable with the organisation's other Azure telemetry
  • C. Enable the Copilot Studio test pane and ask testers to record what they observe
  • D. Add a topic asking users at the end of each conversation whether their issue was resolved

Answer: B

Why: Application Insights is the integration point named in the skills outline for agent telemetry [1], and it satisfies the requirement that the data sit alongside other Azure telemetry so it can be queried together. It captures the event-level detail requested: topic triggers, unresolved conversations and tool call failures. Option A produces unstructured data with no query surface. Option C is a build-time debugging tool. Option D collects sentiment but answers none of the three questions.

Question 10

An organisation manages a Copilot Studio agent across development, test and production environments. The agent calls an internal API whose base URL differs in each. The ALM requirement is that deployments are promoted through the environments in order, with no manual editing after deployment and no environment-specific values baked into the solution. Which approach should be used?

  • A. Store the base URL in an environment variable, and use Power Platform Pipelines to promote the solution through the environments, supplying the correct value per environment
  • B. Export an unmanaged solution from development, import it into test and production, and edit the base URL after each import
  • C. Maintain three separate agents, copying topic changes between them manually
  • D. Hard-code the production base URL in the agent and use it in all three environments

Answer: A

Why: Environment variables exist so configuration values that differ per environment are declared once in the solution and supplied at deployment, satisfying the constraint that no environment-specific values are baked in. Power Platform Pipelines provides the ordered, repeatable promotion path the requirement describes without a manual export and import cycle. Option B violates the no-manual-editing rule. Option C abandons ALM for manual duplication and the environments will diverge. Option D means development and test write against production.

How to use open-book Microsoft Learn access without wasting time

AB-620 is an associate exam, and Microsoft's published policy states you can access Microsoft Learn as you complete your associate or expert exam, with no such access on Fundamentals or GitHub exams [3]. That makes AB-620 open book in a real but bounded sense.

Three constraints define how useful that access is [3]. The timer does not stop: Microsoft states that extra time has not been added and the timer continues as you explore Learn content, so every lookup comes out of your 120 minutes. The domain is restricted to learn.microsoft.com, with Q&A, practice assessments and your profile excluded. Search behaves like Learn search, not a web search engine, though in-page find works.

Learn access therefore rewards candidates who already know the documentation. Use it like this:

  1. Do a full first pass without opening Learn. Answer everything you know, and mark for review anything where you are torn.
  2. Budget your lookups in advance. With 120 minutes and a likely 40-60 items [3], three or four lookups is realistic; twelve is not.
  3. Spend lookups on verifiable specifics. Option names, supported source types, deployment sequencing and limits are stated plainly in documentation. Judgement questions rarely are.
  4. Practise searching Learn before exam day, so finding Copilot Studio, Microsoft Foundry and Power Platform ALM pages is quick.
  5. Never open Learn inside a problem and solution set. Those sets do not let you return to earlier items, so the time cost lands where you can least recover it.

How many AB-620 practice questions you need before booking

There is no honest universal number, and anyone quoting one is selling something. What can be said is what readiness looks like.

Coverage before volume. A candidate who has answered 400 questions all from the planning domain is less prepared than one who has answered 200 spread across all three domains in proportion to the published weightings [1]. Because integration carries 40-45%, roughly two of every five questions you practise should sit there.

Consistency, not one good score. A single strong result is noise. Three consecutive full-length timed tests at a comfortable margin above target, with different question sets each time, is signal. Scores that swing widely suggest you are pattern-matching remembered items rather than reasoning.

Explanations read, not skipped. The learning happens in the explanation, particularly on questions you answered correctly for the wrong reason. Practise timed and full-length too: AB-620 gives you 120 minutes [2], and fatigue in the final third is real.

Frequently Asked Questions

Is AB-620 hard?

AB-620 is an associate-level exam that spans Microsoft Copilot Studio authoring, Microsoft Foundry integration, multi-agent orchestration and Power Platform lifecycle management, so the breadth is the difficulty. Roughly 40-45% of the scoring sits in the integration domain alone [1]. Candidates without hands-on build experience should expect a demanding sitting.

Is AB-620 open book?

Yes, in a limited sense. Microsoft grants in-exam access to Microsoft Learn on associate and expert exams, and AB-620 is an associate exam [3]. You can browse the learn.microsoft.com domain, but Q&A, practice assessments and your profile are excluded, and the exam timer keeps running throughout [3].

How many questions are on the AB-620 exam?

Microsoft does not publish a per-exam question count for AB-620. The general guidance is that most Microsoft certification exams contain between 40 and 60 questions, although the number varies by exam [3]. You have 120 minutes for the assessment [2], so plan roughly two minutes per item.

What score do you need to pass AB-620?

A score of 700 or greater is required to pass AB-620 [1]. Microsoft scores on a scaled range rather than a raw percentage, so 700 is not the same as answering 70% of items correctly. Scaled scoring accounts for the difficulty of the specific question set you receive.

Can I retake AB-620 if I fail?

Yes. Microsoft's retake policy requires a 24-hour wait after a first failure, then a 14-day wait between each subsequent attempt, with a maximum of five attempts in any 12-month period [4]. You pay the exam fee for every attempt, and the fee varies by country or region [2].

Is there an official AB-620 practice assessment?

Not yet. Microsoft states that the practice assessment for this exam is not currently available, and that practice assessments are usually available within eight weeks of an exam leaving beta and becoming generally available [2]. Until then, third-party practice tests aligned to the published skills outline are the only structured option.

Start practising for AB-620

The absence of an official practice assessment is the defining feature of AB-620 preparation right now [2]. The skills outline tells you what is measured, not whether you can apply it under time pressure.

Start practising for AB-620 with Examinotion's seven full-length practice tests, 280 questions in total, weighted to the official domain split and written to associate-level difficulty with a full explanation on every answer. What no provider can honestly offer is a guaranteed outcome: practice reduces risk and exposes gaps, it does not promise a pass. Preparing for more than one Microsoft AI certification? Compare the full catalogue on the Microsoft exams hub.

Sources

  1. Microsoft Learn - Study guide for Exam AB-620. https://learn.microsoft.com/en-us/credentials/certifications/resources/study-guides/ab-620
  2. Microsoft Learn - Microsoft Certified: AI Agent Builder Associate certification. https://learn.microsoft.com/en-us/credentials/certifications/ai-agent-builder-associate/
  3. Microsoft Learn - Exam duration and exam experience. https://learn.microsoft.com/en-us/credentials/support/exam-duration-exam-experience
  4. Microsoft Learn - Exam retake policy. https://learn.microsoft.com/en-us/credentials/support/retake-policy
  5. Microsoft Learn - Course AB-620T00-A. https://learn.microsoft.com/en-us/training/courses/ab-620t00

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