Scrum Master II — AI
The decisions the 2020 Scrum Guide does not make for you. Level II certification in Scrum Master judgment, in English, Latin American Spanish and Brazilian Portuguese. Where Level I asks what Scrum determines, this asks what you do where it determines nothing — 31 of its 44 tasks have a best answer the Guide's own text does not settle, and the scheme publishes that count rather than asserting a difficulty gap. Every item presents four options a competent practitioner could defend, with one better for a reason statable in a sentence, and the blueprint is published before you pay: five domains, 44 tasks, the cognitive profile, the pass mark and its reasoning, and the eight failure modes the borderline candidate is defined by. One domain, 22.5% of the exam, is where a model in the work system changes the best answer. Generated work against the Definition of Done, accountability for code a Developer did not write, a Retrospective whose inputs were summarised by a tool. Four of its nine tasks would have the same answer without the model — they earn their place because generation makes those situations common, not because it changes the judgment. The scheme says so, and so does this page.
Exam Composition
D1Resolving framework tensions20%›
Situations in which two Scrum Guide rules pull against each other and the Guide does not say which yields.
D2Coaching a team performing Scrum and still failing20%›
Team-level dysfunction that passes every formal inspection: stance selection, dysfunction that survives compliance, and improvement that never lands.
D3Serving the Product Owner and the organization without absorbing their accountabilities17.5%›
The boundary between the Scrum Master and everyone else: delegation without absorption, organizational impedance, and accountability exercised by the wrong party.
D4Empiricism under distortion20%›
Whether the team can still see the truth: metrics decoupled from reality, inspection that changes nothing, and commitments a team has stopped measuring against.
D5Scrum Master judgment when AI is inside the work system22.5%›
Who is accountable when part of the work was not done by a person. Not AI literacy and not organizational AI governance: the object is the Scrum Team's empiricism, events and accountabilities.
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