100+ Free PSM-AI Practice Questions

PSM-AI Essentials (Professional Scrum with AI Essentials) is a 2026 Scrum.org certification for practitioners who want to apply AI tools effectively within Scrum teams. It covers generative AI fundamentals, using AI across Scrum events, prompt engineering, RAG concepts, and responsible AI principles. The exam has 30 questions in 60 minutes and requires 85% to pass.

RAG (Retrieval Augmented Generation) is an AI technique that enhances LLM responses by retrieving relevant documents from a knowledge base before generating an answer. In Scrum contexts, RAG can ground AI responses in team-specific content like sprint history, Definition of Done, or product documentation, reducing hallucinations and making AI assistance more accurate and relevant to the team's specific context.

AI tools can assist Sprint Planning by analyzing historical velocity data to suggest realistic Sprint Goals, generating user story decompositions from high-level features, identifying dependencies between Product Backlog items, drafting initial acceptance criteria for refinement, and summarizing previous Sprint outcomes to inform planning. However, human judgment must remain central to Sprint Goal setting and team forecasting.

PSM-AI covers responsible AI principles including transparency (AI reasoning should be explainable), fairness and bias mitigation (AI outputs may reflect training data biases), human accountability (humans remain accountable for AI-assisted decisions), privacy considerations in AI tool selection, and governance frameworks for organizational AI use. Teams must critically evaluate AI suggestions rather than blindly accepting them.

No formal prerequisites exist, but basic Scrum knowledge is strongly recommended. The exam assumes familiarity with Scrum events, accountabilities, and artifacts. Candidates without Scrum background should study the Scrum Guide 2020 before attempting PSM-AI Essentials. Some AI tool experience is also beneficial but not required.