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In Software Engineering, such settings are particularly relevant when questions depend on strict adherence to normative definitions, roles, artifacts, and rules. This paper evaluates the performance of three contemporary LLMs, \\textit{GPT-5 mini}, \\textit{Gemini 3 Flash}, and \\textit{DeepSeek Chat 3.2}, in answering 993 Scrum certification-style questions aligned with the Professional Scrum Master I (PSM I) assessment format. We evaluated the models under three prompting strategies (\\textit{zero-shot}, \\textit{chain-of-thought}, and \\textit{source-grounded}), with repeated executions to assess intra-model stability. 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