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Exam Review

Key Facts: PSM-AI Exam

20

Exam Questions

Scrum.org

85%

Passing Score

Scrum.org

30 min

Time Limit

Scrum.org

Course-only

Assessment Access

Scrum.org

4

Question Categories

Scrum.org

Lifetime

Cert Validity

Scrum.org

PSM-AI Essentials is a 20-question, 30-minute online assessment from Scrum.org requiring 85% to pass. It is not sold separately and is available only to students who complete the Professional Scrum Master - AI Essentials class. Questions fall into four published categories: AI Theory and Primer, Effective AI Prompting, AI for Scrum Masters, and AI Security and Ethics; Scrum.org does not publish category weights. The certification is lifetime with no renewal fee.

Sample PSM-AI Practice Questions

Try these sample questions to review concepts for the PSM-AI exam. Each question includes a detailed explanation. Start the interactive quiz above for the full 135+ question experience with AI tutoring.

1A Scrum Team wants to use a generative AI tool to assist with Sprint Planning. What is the MOST important consideration before adopting it?
A.The AI tool must be capable of auto-generating the Sprint Goal
B.Verify backlog data shared with AI meets organizational privacy and security policies
C.The AI must integrate directly with the team's project management tool
D.The Scrum Master must approve every AI-generated suggestion before it reaches the team
Explanation: Before sharing backlog items or user stories with any external AI service, the team must verify that doing so does not violate data privacy policies or expose proprietary information. This is the foundational governance concern.
2During Sprint Retrospective, a Developer suggests letting an AI tool summarize all team conversations and automatically identify improvement actions. What is the BEST response from the Scrum Master?
A.Approve it immediately because AI will produce more objective insights than the team
B.Facilitate team evaluation while protecting psychological safety and data privacy
C.Reject it because AI has no place in Retrospective conversations
D.Ask the Product Owner to decide whether the AI tool adds business value first
Explanation: The Scrum Master facilitates the team's evaluation. Retrospectives require psychological safety; the team should collectively decide whether AI summarization supports or undermines that safety, while also considering privacy of sensitive team conversations.
3A Product Owner uses ChatGPT to draft acceptance criteria for a complex backlog item. What is the MOST critical next step?
A.Publish the AI-generated criteria directly to the team to save time
B.The PO reviews and validates criteria against stakeholder needs before sharing
C.Ask the Scrum Master to rewrite the criteria without AI assistance
D.Replace the AI-drafted criteria with criteria from a competitor's public product roadmap
Explanation: AI-generated outputs can contain hallucinations, incorrect assumptions, or missed context. The Product Owner must apply domain expertise to verify and refine the criteria before the team relies on them.
4Which of the following BEST describes 'hallucination' in the context of generative AI tools used by Scrum Teams?
A.When the AI tool refuses to answer a question due to safety filters
B.The AI produces plausible but factually incorrect or fabricated information
C.When the AI tool crashes or becomes unavailable during a Sprint
D.When the AI produces output that is too long for a backlog item description
Explanation: Hallucination refers to an AI model confidently generating content that is factually wrong, invented, or unsupported by its training data. Scrum Teams must verify AI outputs, especially for technical decisions or stakeholder-facing content.
5A Scrum Master wants to use GitHub Copilot to help the Development Team write unit tests faster. Which Scrum value is MOST directly supported when the team critically evaluates Copilot's suggestions rather than accepting them blindly?
A.Commitment without considering privacy, quality, or human accountability risks
B.Openness without considering privacy, quality, or human accountability risks
C.Courage
D.Focus without considering privacy, quality, or human accountability risks
Explanation: Courage in Scrum means doing the right thing and tackling tough problems. Critically evaluating AI suggestions—even when it takes more time—demonstrates the courage to maintain quality and not cut corners.
6During Sprint Review, the team demonstrates a feature partially built using AI-generated code. A stakeholder asks how much of the code was written by AI. What is the MOST appropriate team response?
A.Deny AI involvement to avoid stakeholder concerns about quality
B.Disclose AI assistance and explain how the team reviewed and validated the work
C.Refuse to answer because AI tool usage is an internal team decision
D.Let the Product Owner handle the question without involving developers
Explanation: Transparency is a core Scrum pillar. Openly sharing how AI tools contributed and how the team validated the output builds stakeholder trust and demonstrates responsible AI use.
7A Product Owner is using an AI tool to prioritize the Product Backlog. The AI ranks items based on historical sales data that contains demographic bias. What is the MOST significant risk?
A.The AI will slow down backlog refinement sessions
B.The AI's bias may perpetuate or amplify unfair outcomes in the product
C.The Product Owner will lose decision-making authority
D.The Sprint Velocity will become unpredictable without considering privacy, quality, or human accountability risks
Explanation: AI systems trained on biased data can reinforce and scale discrimination. A PO using biased prioritization risks building features that disadvantage certain user groups, creating ethical, legal, and reputational harm.
8Which statement BEST describes the 'human-in-the-loop' principle when Scrum Teams use generative AI?
A.All AI outputs are automatically deployed without human review
B.Humans review, validate, and own AI outputs before the team acts on them
C.AI tools replace human decision-making to improve sprint velocity
D.The Scrum Master approves all AI tool subscriptions for the team
Explanation: Human-in-the-loop means that humans remain accountable for reviewing and approving AI outputs. In Scrum, this means team members critically evaluate AI suggestions rather than treating them as infallible final answers.
9A Scrum Team uses Claude to generate first-draft Sprint Retrospective action items. After three Sprints, the team notices the AI's suggestions are generic and not specific to their context. What should they do?
A.Stop using AI for Retrospectives entirely without considering privacy, quality, or human accountability risks
B.Improve the prompts with more context about their specific challenges and team norms
C.Accept generic suggestions because AI is always more objective than humans
D.Ask the Product Owner to review all AI-generated retrospective actions
Explanation: Prompt engineering is the practice of crafting inputs to elicit better, more contextual outputs. Providing richer context (team size, recurring challenges, domain) will produce more relevant and actionable suggestions.
10What is prompt engineering in the context of generative AI tools used by Scrum Teams?
A.Writing code to integrate AI APIs into the product
B.Designing clear inputs that guide the model toward useful, high-quality outputs
C.Training a new AI model on Scrum-specific data without considering privacy, quality, or human accountability risks
D.Evaluating AI vendor contracts for the organization
Explanation: Prompt engineering involves designing input text (prompts) strategically—including context, constraints, and examples—so that an AI model produces outputs that are accurate, relevant, and useful for the team's specific needs.

About the PSM-AI Exam

Professional Scrum Master - AI Essentials (PSM-AI Essentials) is a Scrum.org certification validating essential knowledge in applying artificial intelligence as a Scrum Master. Scrum.org groups its questions into four categories: AI Theory and Primer, Effective AI Prompting, AI for Scrum Masters, and AI Security and Ethics. It covers generative AI and LLM fundamentals, retrieval-augmented generation, structured prompting for Agile practitioners, AI across the Scrum events, the impact of AI on the Definition of Done, and responsible, ethical AI use.

Exam sponsor: Scrum.org. The requirements and fees below concern the certification or admission exam, separate from our free practice resources.

Questions

20 questions

Time Limit

30 minutes

Passing Score

85%

Exam / Certification Fees

Included with required class; not sold separately

Exam sponsor website

Reported exam pass rate: Not published. Scrum.org does not publish pass rates Exam sponsor website

Fees, eligibility, and exam policies can change. Confirm them with the exam sponsor before applying or paying.

Our practice resources: topics covered

We aim to reflect publicly available exam outlines and topic information in our study resources. Coverage, format, and difficulty may differ from the actual exam, and we cannot guarantee that every detail is accurate or current. Confirm exam requirements, fees, and policies with the official exam sponsor.

Not published

AI Theory and Primer

Machine learning, deep learning, generative AI and agentic AI; LLM mechanics; retrieval-augmented generation; OECD AI Principles

Not published

Effective AI Prompting

Structured prompting for Agile practitioners, few-shot examples, task decomposition, prompt chaining, rapid prototyping, and context engineering

Not published

AI for Scrum Masters

AI across the five Scrum events, Product Backlog refinement, the Definition of Done, and setting up an AI-powered Scrum Team

Not published

AI Security and Ethics

Responsible and trustworthy AI, human accountability, data protection, bias, deepfakes, and the environmental footprint of AI

Preparing for the PSM-AI Exam

What You Need to Know

  • Passing score: 85%
  • Exam length: 20 questions
  • Time limit: 30 minutes
  • Exam / certification fees: Included with required class; not sold separately Official sources

Using Our Practice Resources

  • Work through all 135 available questions
  • Review every answer and explanation
  • Track weak areas and revisit them
  • Use our AI tutor for tough concepts

PSM-AI: Suggested Study Strategy

1Know the four official categories by name: AI Theory and Primer, Effective AI Prompting, AI for Scrum Masters, and AI Security and Ethics
2Understand generative AI and LLM basics: tokens, context windows, temperature, and why hallucinations occur
3Study Scrum.org's six curated Scrum Master prompt use cases and learn to state context, task, constraints, sources and output format instead of memorising an unofficial acronym
4Know how to apply AI during each of the five Scrum events without undermining team self-management
5Understand RAG: it retrieves selected documents before generation, improving access to specific knowledge while still requiring citation and claim verification
6Read the OECD AI Principles and the EU Ethics Guidelines for Trustworthy AI — both are on Scrum.org's official prep list
7The Scrum Guide still governs — AI tools augment Scrum Teams but do not replace human judgment in empirical process control
8Study AI governance: organizations need policies for which AI tools teams can use and how AI-generated content is verified

Frequently Asked Questions

What is the PSM-AI Essentials certification?

Professional Scrum Master - AI Essentials (PSM-AI Essentials) is a Scrum.org certification for Scrum Masters and Agile coaches who want to apply AI within Scrum Teams. Scrum.org states that questions fall into four categories: AI Theory and Primer, Effective AI Prompting, AI for Scrum Masters, and AI Security and Ethics. The assessment has 20 questions in 30 minutes and requires 85% to pass.

What is the passing score, access route and format for the PSM-AI exam?

Scrum.org publishes 20 multiple-choice questions, a 30-minute time limit, and a passing score of 85%. The assessment is delivered online in English using a single-use password that does not expire, but it is not sold separately: access is available only after completing the required Professional Scrum Master - AI Essentials class. Passing awards a lifetime certification with a free Credly digital credential and no annual renewal fee.

Does Scrum.org publish weights for the four PSM-AI question categories?

No. Scrum.org lists four categories — AI Theory and Primer, Effective AI Prompting, AI for Scrum Masters, and AI Security and Ethics — but does not publish a percentage weight for any of them. Treat all four as examinable and study the full curated resource list on the official Preparing for PSM-AI Essentials page.

Does Scrum.org prescribe one official prompt formula for PSM-AI Essentials?

No. Scrum.org lists Effective AI Prompting as a question category and curates three preparation resources: six professional AI prompts for Scrum Masters, a context-engineering article, and a rapid-prototyping article. A separate Scrum.org-hosted author article presents an Agile Prompt Engineering Framework, but the official preparation page does not designate that framework or any lettered acronym as the required exam formula.

How does AI change the Definition of Done?

AI does not change the Scrum rule that work must meet the Definition of Done before it is part of an Increment. Scrum.org's curated guidance suggests adding AI-impact expectations that fit the product, such as bias and fairness checks, human oversight, secure handling of prompt data, explainability, toxicity controls, encrypted AI-service connections, and applicable regulatory requirements.

Who is accountable for AI-generated code or backlog items in Scrum?

An AI tool cannot hold a Scrum accountability. Developers remain accountable for instilling quality by adhering to the Definition of Done, the Product Owner remains accountable for maximizing value and effective Product Backlog management, and the Scrum Master remains accountable for establishing Scrum and for the Scrum Team's effectiveness.

Do I need Scrum experience or a course before taking PSM-AI Essentials?

The course is mandatory: Scrum.org makes the certification assessment available only to students who complete a Professional Scrum Master - AI Essentials class taught by a Professional Scrum Trainer. Scrum.org recommends Scrum training and certification, and describes the class audience as Scrum Masters and Agile coaches with a solid understanding of Scrum and experience working on a Scrum Team.