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Uravation Expands Free Generative AI Passport Question Bank to 300 Questions
Uravation Inc. expanded its free, no-registration Generative AI Passport question bank to 300 original questions for the syllabus that takes effect with the February 2027 exam.
Reporting from 1 source: ASCII.jp.
Why it matters
Chapter 3 of the syllabus turns into AI agents, RAG and MCP for the February 2027 exam, and the free bank's fixed 60-question split per chapter gives candidates a way to drill a section the old syllabus did not carry in that form.
Key Facts
- Uravation Inc. expanded its free Generative AI Passport question bank to 300 original questions for the syllabus that applies from the February 2027 exam.
- The bank gives 60 questions to each of five chapters, and Chapter 3 becomes AI Agents, covering RAG and MCP.
- Users can take 10 questions drawn from all chapters, 60 questions in exam format, or 20 questions by chapter.
- Scoring displays correct-answer rates by chapter, the fields answered incorrectly, and explanations for all questions.
- Uravation published a 50-question mock exam for the old syllabus in September 2026.
The Tokyo company allocates 60 questions to each of five chapters, including a Chapter 3 now devoted to AI agents, RAG and MCP. Users can take 10 questions drawn across chapters, a 60-question mock in exam format, or 20 by chapter. Scoring shows per-chapter rates and explanations for every question.
The exam is administered by the Japan Generative AI Utilization Promotion Association, known as GUGA. Applications for the February 2027 sitting opened on October 1, 2026, and Uravation built the new questions after that point, allocating counts by chapter and by mid-level item. The company's earlier release was a 50-question mock exam published in September 2026 against the old syllabus.
Answers are not submitted and study records stay in the browser, so the score page, which lists per-chapter rates and the fields missed, is the only record a user gets.
- Chapter 1: AI Fundamentals and History: 60 questions on AI mechanisms, machine learning, neural networks and AI history
- Chapter 2: Generative AI: 60 questions on technology after Transformer, LLM fundamentals and major model trends
- Chapter 3: AI Agents: 60 questions on how agents work, RAG, MCP and Agent Skills, tools, risks and evaluation
- Chapter 4: Generative AI Risk Prevention, AI Ethics, and Governance: 60 questions on shadow AI, output verification, internal guidelines and AI law
- Chapter 5: Practice and Use Cases of Generative AI: 60 questions on prompt engineering, document creation, planning, data analysis and development
Written with AI by Yomimono from the 1 cited source below, including Japanese-language reporting where cited. See our editorial policy.
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