What the AB-620 exam covers
- Plan and configure agent solutions250 questions
- Integrate and extend agents in Copilot Studio333 questions
- Test and manage agents174 questions
Free AB-620 sample questions
A sample of 10 questions with answers and explanations. Sign up free to practice all 757.
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What is a knowledge source in Copilot Studio?
- AA scheduled Power Automate flow
- BContent the agent searches for groundingCorrect
- CA topic with exact trigger phrases
- DAn environment variable holding a value
✓ Correct answer: BIn Copilot Studio, a knowledge source (SharePoint, a website, an uploaded file, Dataverse, or enterprise data) is content the agent's generative answers feature searches and cites to produce grounded responses. It is distinct from a scheduled automation, a topic, or a stored configuration value.
Why the other options are wrong- AA flow automates a process; it is not searched content used to ground responses.
- CA topic reacts to trigger phrases with a defined dialog, not by searching content.
- DAn environment variable stores a config value, not searchable knowledge content.
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Why is security trimming important when grounding an agent's answers in enterprise knowledge?
- AIt improves the agent's average response speed
- BIt reduces Power Platform premium licensing costs
- CIt automatically translates content for global users
- DIt prevents exposing information a user isn't permitted to seeCorrect
✓ Correct answer: DWithout trimming, an agent grounded in broadly indexed enterprise content could reveal information to a user that they are not authorized to view in the source system, creating a real data governance and oversharing risk. Trimming does not affect response speed, licensing costs, or translation behavior.
Why the other options are wrong- ATrimming is a permissions safeguard, not a performance optimization technique.
- BTrimming relates to data access control, not to connector licensing costs.
- CLanguage translation is unrelated to permission-based security trimming.
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When configuring a tool's input parameter as required, what is the effect on the model at runtime?
- AThe parameter is simply ignored entirely by the model
- BThe agent is automatically published straight to production
- CThe model must obtain or ask for that value before it can call the toolCorrect
- DThe parameter automatically becomes a knowledge source
✓ Correct answer: CA required parameter tells the orchestrator the call cannot proceed without it, so the model will either extract it from the conversation or prompt the user for it; optional parameters can be omitted if not available.
Why the other options are wrong- AA required parameter is precisely the opposite of ignored; the model must supply it.
- BMarking a parameter required has no bearing on publishing the agent.
- DA parameter is part of a tool's schema, not a knowledge source.
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What is required for end users to get correct results when their questions are routed to a connected Fabric data agent?
- ANothing; Fabric data agents ignore permissions entirely
- BThe calling identity needs appropriate access to the Fabric workspaceCorrect
- CThe user must manually type their Fabric API key in the chat
- DThe Copilot Studio environment must be in the same region as Fabric
✓ Correct answer: BAs with other data-grounded integrations, a Fabric data agent's results depend on the identity used at runtime having proper access to the Fabric workspace and specific items it queries, so results respect existing data permissions.
Why the other options are wrong- APermissions are not ignored; access to Fabric items still governs what can be returned.
- CUsers are not expected to manually supply an API key in the conversation.
- DRegional alignment between environments is not the mechanism that governs data access permissions.
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Which two practices represent good use of Application Insights for proactively managing a production agent? (Choose TWO)
- ASetting alert rules on key error and latency metricsCorrect
- BWaiting for users to report problems by email only
- CReviewing dashboards or workbooks on a regular cadenceCorrect
- DDisabling telemetry once the agent is stable
- EOnly checking telemetry once, at initial launch
✓ Correct answer: A, CProactive management combines automated alert rules on key metrics with regular review of dashboards or workbooks built on the telemetry, catching issues before or as they emerge. Relying solely on user reports, turning off telemetry once stable, or checking only at launch all leave the team blind to ongoing production issues.
Why the other options are wrong- BRelying only on user reports misses issues that users never report.
- DDisabling telemetry removes visibility exactly when regressions could still occur.
- EA one-time check at launch does not catch issues that appear later.
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Before releasing an agent broadly, the responsible AI team wants to deliberately try adversarial and edge-case prompts to see if the agent can be tricked into producing harmful content. What activity does this describe?
- APublishing to production directly
- BConfiguring connection references
- CReviewing Application Insights telemetry only
- DTesting the agent for harms before go-liveCorrect
✓ Correct answer: DDeliberately probing an agent with adversarial or edge-case prompts to uncover unsafe or harmful outputs before release is a core responsible AI practice, typically done in the test pane or dedicated test conversations prior to go-live.
Why the other options are wrong- APublishing directly to production skips exactly this kind of pre-release safety testing.
- BConnection references configure connector identity and are unrelated to harms testing.
- CReviewing telemetry after the fact is reactive monitoring, not the proactive adversarial testing described.
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Which two areas provide data a builder can use to monitor agent flow health after publishing? (Choose TWO)
- AChannels tab, showing published channel icons
- BCopilot Studio Analytics for tool usageCorrect
- CPower Automate run history for each runCorrect
- DKnowledge tab, showing uploaded files
- EGenerative AI instructions field
✓ Correct answer: B, CCopilot Studio Analytics surfaces aggregated usage and performance across sessions and tools, while Power Automate run history shows the detail of each individual flow execution; together they support both trend and root-cause monitoring. The Channels tab, Knowledge tab, and instructions field do not report on flow health.
Why the other options are wrong- AThe Channels tab shows publishing targets, not flow health data.
- DThe Knowledge tab lists grounding files, unrelated to monitoring.
- EThe instructions field configures behavior, it reports nothing about runs.
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Which of these is an example of adding a prompt as a tool inside a topic's action list?
- AInserting Markdown bold syntax in a message
- BAdding a Condition node checking a Boolean
- CCalling a prompt that summarizes text into outputCorrect
- DSetting a global variable to a static string
✓ Correct answer: CA prompt built with the prompt builder can be added to a topic exactly like a connector or flow, via Add an action, passing in text and receiving back a structured or text summary as output.
Why the other options are wrong- AMarkdown formatting is text styling, unrelated to invoking a prompt tool.
- BA Condition node is plain branching logic and does not call a generative prompt.
- DSetting a static variable value does not involve calling any AI prompt.
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Which practice best keeps a growing test set maintainable as new topics are added to the agent?
- ADeleting old test cases whenever a topic changes
- BStoring test cases only as screenshots
- CTesting exclusively in the production channel
- DGrouping and clearly naming related test casesCorrect
✓ Correct answer: DAs an agent's topics grow, keeping test cases organized into clearly named groups by scenario, such as refunds, shipping, and escalation, makes it easy to find, update, and run the relevant subset when a specific area changes.
Why the other options are wrong- ADeleting old cases on every topic change risks losing regression coverage.
- BScreenshots aren't a structured, runnable test format.
- CTesting only in production skips the whole point of a maintainable, repeatable test set.
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A builder adds an agent to a solution and Copilot Studio flags a custom connector used by the agent as not yet included. What should the builder do?
- AAdd the connector to the solutionCorrect
- BIgnore it; it imports automatically
- CRecreate the agent in target env
- DConvert it to a variable
✓ Correct answer: AThe builder should add the flagged custom connector to the same solution as a dependency, ensuring it exists in the target environment after import.
Why the other options are wrong- BCustom connectors are not automatically carried over without being included.
- CRecreating the whole agent is unnecessary; only the missing dependency needs adding.
- DA custom connector cannot be represented as an environment variable.
Who this AB-620 practice exam is for
This practice set is for anyone preparing for the AB-620: AI Agent Builder Associate exam at the intermediate level - from first-time candidates building a foundation to experienced Microsoft practitioners doing a final review before test day. If you learn best by working through realistic questions and reading why each answer is right or wrong, it is built for you.
How to use this AB-620 practice exam
- Start with the free sample questions above to gauge your current baseline.
- Read the full explanation on every question, including why each wrong option is wrong.
- Track your weak domains and focus your study where you are losing the most marks.
- Once you are scoring consistently well, take a timed, full-length mock exam.
- Use your readiness score to decide when you are ready to book the real AB-620 exam.
Related Microsoft resources
- AB-620 study guideKey concepts
- Microsoft practice examsAll Microsoft
- Certification pathWhere this fits
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AB-620 practice exam FAQ
How many questions are in the AB-620 practice exam on CertGrid?
CertGrid has 757 practice questions for AB-620: AI Agent Builder Associate, covering 3 exam domains. The real AB-620 exam is 40-60 qs in 100 min. CertGrid's timed mock is a fixed 50 questions.
What is the passing score for AB-620?
The AB-620 exam passing score is 70%, and you have about 100 min to complete it. CertGrid scores your practice attempts the same way so you know when you are ready.
Are these official AB-620 exam questions?
No. CertGrid is an independent practice platform. We do not provide real or leaked exam questions. Our questions are original and designed to help you practice the concepts, scenarios, and difficulty style of the AB-620: AI Agent Builder Associate exam.
Can I practice AB-620 for free?
Yes. You can start practicing AB-620: AI Agent Builder Associate for free with daily practice and sample questions. Paid plans unlock full timed exams, complete explanations, and domain analytics.
What CertGrid is (and is not)
CertGrid is an independent IT certification practice platform for Azure, AWS, Google, Cisco, Security, Linux, Kubernetes, Terraform, and other certification tracks. It provides objective-mapped practice questions, readiness scoring, weak-domain drills, and explanations to help learners understand what to study next.
Independent & original. CertGrid is an independent practice platform and is not affiliated with or endorsed by Microsoft. Questions are original practice items designed to mirror certification concepts and exam style. CertGrid does not provide official exam questions or braindumps.