Scrum.org PSM-AI Practice Test

Prepare for Scrum.org PSM-AI with a stable, objective-mapped PM Mastery bank, public sample questions, a free-practice page, AI theory, security, ethics, Scrum Master use cases, and prompting drills.

Use PM Mastery for interactive practice with timed mocks, focused drills, progress tracking, and detailed explanations across web and mobile. Focused topic pages, the free-practice page, and the web app preview show how practice handles AI basics, security, ethics, Scrum Master use cases, prompting, and responsible facilitation.

Choose PSM-AI when your decisions live inside Scrum Master work: facilitation, coaching, event support, prompting, and ethical AI use around the Scrum Team. If your role is Product Owner, compare PSPO-AI . If you need a broader AI initiative-management route, compare PMI-CPMAI or AIPM .

Practice preview and focused pages

Use this page to start the web app and choose the right public preview before longer mixed practice. For sample exam questions, use the focused topic pages, quick review, and free-practice page in this exam section; the interactive app remains the primary practice path.

  • Focused topic pages: drill focused topics including AI for Scrum Masters; AI Security and Ethics; and other domains with explanations.
  • Quick review: Scrum, AI use cases, risks, traps, and practice focus.
  • Free practice exam: Try 20 free PSM-AI questions across the exam domains, with answers and explanations, then continue in PM Mastery.

What this PSM-AI practice page gives you

  • A direct web entry for PSM-AI practice in PM Mastery.
  • Topic drills, mixed sets, and timed practice across AI foundations, ethics, Scrum Master use cases, and prompting.
  • Detailed explanations that show why the safest and most useful answer is right.
  • Focused topic pages, free-practice content, and interactive PSM-AI practice in PM Mastery.
  • A clear web preview path for previewing question style before deeper practice.
  • The same PM Mastery account across web and mobile

PSM-AI exam snapshot

  • Vendor: Scrum.org
  • Official exam name: Scrum.org Professional Scrum Master - AI Essentials (PSM-AI)
  • Exam code: PSM-AI
  • Questions: 20
  • Time limit: 45 minutes
  • Pass mark: 85%

PSM-AI rewards answers that combine practical AI use with Scrum-friendly leadership, ethical judgment, strong prompt design, and clear awareness of security and governance risks.

Official source check: Last checked: May 5, 2026. Scrum.org lists PSM-AI Essentials as a course-gated certification with 20 multiple-choice questions, a 45-minute time limit, English language delivery, and an 85% passing score. Use Scrum.org for final eligibility and exam-day rules; use PM Mastery for original AI-for-Scrum Master practice.

Choose the right AI + Scrum route

  • PSM-AI : best for Scrum Masters, agile coaches, facilitation, and team-level AI use.
  • PSPO-AI : best for Product Owners, backlog quality, discovery, and value decisions.
  • PMI-CPMAI : best when the work is a full AI initiative with data, evaluation, governance, and operations.
  • AIPM : best when you want broader AI-driven project-management coverage beyond Scrum role questions.

Topic coverage for PSM-AI practice

TopicWeightEstimated questions
AI Theory and Primer25%5
AI Security and Ethics25%5
AI for Scrum Masters25%5
Effective AI Prompting25%5

PSM-AI decision filters

PSM-AI questions are strongest when you keep Scrum accountability and AI risk in the same frame.

Scenario signalFirst checkStrong answer usually…Weak answer usually…
The team wants to paste real work data into an AI toolData sensitivity and minimum necessary inputUses synthetic, anonymized, or reduced context when possibleShares real customer or confidential data for convenience
AI generates facilitation adviceScrum Master accountabilityReviews, adapts, and uses it as support for human facilitationTreats generated advice as authoritative
The Scrum Master wants better promptsGoal, context, constraints, and output formatProvides clear role, purpose, boundaries, examples, and review criteriaAsks vague questions and accepts vague output
AI suggests bypassing Scrum eventsScrum purpose and empiricismUses AI to improve preparation or insight while preserving event purposeReplaces inspection and adaptation with generated summaries
Bias or harm is possibleEthics and stakeholder impactAdds review, transparency, and human judgment proportional to riskRelies on the tool because it seems neutral
Team ownership weakensSelf-managementUses AI to support learning and transparency without taking decisions from the teamLets AI or the Scrum Master decide for the team

PSM-AI readiness map

TopicWhat the exam testsWhat PM Mastery practice should forceCommon trap
AI Theory and PrimerWhether you understand what AI can and cannot reliably doChoose uses that match AI strengths and limitationsTreating AI output as truth
AI Security and EthicsWhether data, confidentiality, bias, and harm are handled responsiblyMinimize sensitive input and require human review where impact mattersSharing more context than needed
AI for Scrum MastersWhether AI supports facilitation, coaching, and transparency without replacing accountabilityKeep Scrum roles, events, and empiricism intactUsing AI to avoid difficult human conversations
Effective AI PromptingWhether prompts are clear, bounded, and reviewableState goal, context, constraints, output, and quality criteriaPrompting vaguely and overtrusting the answer

How to use the PSM-AI simulator efficiently

  1. Start with one topic at a time and run a short focused drill.
  2. Review every miss until you can explain the ethical, security, or Scrum leadership logic behind the best answer.
  3. Move into mixed sets once you can switch between prompting, governance, and practical Scrum Master use cases smoothly.
  4. Finish with timed runs to build confidence across the full 20-question assessment.

Final 7-day PSM-AI practice sequence

TimingPractice focusWhat to review after the set
Days 7-5One timed self-check plus drills in the weakest AI-for-Scrum topicWhether misses came from data risk, ethics, prompt design, or Scrum Master accountability
Days 4-3Mixed prompting, ethics, facilitation, and team-support scenariosWhether the answer uses AI as reviewed support rather than a replacement for Scrum judgment
Days 2-1Light review of prompt structure, sensitive-data handling, human review, and event purposeOnly recurring traps; avoid cramming broad AI-management material outside the Scrum Master route
Exam dayShort warm-up if usefulChoose the answer that is useful, ethical, secure, and Scrum-friendly

When PSM-AI practice is enough

If you can score above 75% on several unseen mixed attempts and explain the AI risk or Scrum accountability behind each miss, you are likely ready. Avoid repeating the bank until the prompts feel familiar; PSM-AI readiness means applying responsible AI judgment to new Scrum Master situations.

Web preview and premium practice

  • Web/public preview: a smaller web set so you can validate the question style and explanation depth.
  • Premium: interactive web-app practice with focused drills, mixed sets, timed mock exams, detailed explanations, and progress tracking across web and mobile.

PSM-AI Scrum and AI map

Use this map after a focused topic page, quick review, or mock exam to connect practice items to responsible AI use in Scrum, empirical validation, team accountability, product value, prompt risk, and governance decisions.

    flowchart LR
	  S1["Scrum team AI scenario"] --> S2
	  S2["Clarify value risk and accountability"] --> S3
	  S3["Use AI to support not replace empiricism"] --> S4
	  S4["Validate output with team and stakeholders"] --> S5
	  S5["Protect transparency quality and ethics"] --> S6
	  S6["Adapt product backlog and working agreements"]

Mini Glossary

  • AI governance: Policies, controls, accountability, data practices, and human oversight for AI-enabled work.
  • Prompt risk: Risk that AI output is unreliable, biased, incomplete, insecure, or unsuitable for the decision context.
  • Scrum Master: Accountability focused on Scrum effectiveness, facilitation, coaching, and impediment removal.
  • Product Owner: Accountability for maximizing product value through product goal and backlog decisions.
  • Value delivery: Creating outcomes that matter to customers, users, sponsors, and the organization.

In this section