PMI PMI-CPMAI日本語 real exam prep : PMI Certified Professional in Managing AI (PMI-CPMAI日本語版)

  • Exam Code: PMI-CPMAI-JPN
  • Exam Name: PMI Certified Professional in Managing AI (PMI-CPMAI日本語版)
  • Updated: Oct 17, 2026
  • Q&As: 141 Questions and Answers

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About PMI PMI-CPMAI日本語 Real Exam

PMI PMI-CPMAI日本語 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Identifying Data Needs for AI Projects (Phase II): This section of the exam measures the skills of a Data Analyst and covers how to determine what data an AI project requires before development begins. It explains the importance of selecting suitable data sources, ensuring compliance with policy requirements, and building the technical foundations needed to store and manage data responsibly. The section prepares candidates to support early data planning so that later AI development is consistent and reliable.
Topic 2
  • The Need for AI Project Management: This section of the exam measures the skills of an AI Project Manager and covers why many AI initiatives fail without the right structure, oversight, and delivery approach. It explains the role of iterative project cycles in reducing risk, managing uncertainty, and ensuring that AI solutions stay aligned with business expectations. It highlights how the CPMAI methodology supports responsible and effective project execution, helping candidates understand how to guide AI projects ethically and successfully from planning to delivery.
Topic 3
  • Matching AI with Business Needs (Phase I): This section of the exam measures the skills of a Business Analyst and covers how to evaluate whether AI is the right fit for a specific organizational problem. It focuses on identifying real business needs, checking feasibility, estimating return on investment, and defining a scope that avoids unrealistic expectations. The section ensures that learners can translate business objectives into AI project goals that are clear, achievable, and supported by measurable outcomes.
Topic 4
  • Iterating Development and Delivery of AI Projects (Phase IV): This section of the exam measures the skills of an AI Developer and covers the practical stages of model creation, training, and refinement. It introduces how iterative development improves accuracy, whether the project involves machine learning models or generative AI solutions. The section ensures that candidates understand how to experiment, validate results, and move models toward production readiness with continuous feedback loops.

Reference: https://www.pmi.org/certifications/ai-project-management-cpmai

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PMI Certified Professional in Managing AI (PMI-CPMAI日本語版) Sample Questions:

Question #1

複雑な医療プロジェクトにおいて、ある医療機関は診断精度向上のため、患者データ分析にAIを導入する計画を立てている。このプロジェクトでは、AIシステムと既存の医療データベースとの相互運用性が必要となる。これらのデータベースには機密性の高い患者情報が含まれている。また、各国における厳格な倫理的・法的規制への対応が求められる。
どの重要な手順を実行しなければならないか?

  • A. 高い予測精度を維持する
  • B. プライバシー影響評価の実施
  • C. 規制影響報告書の作成
  • D. 詳細な財務リスク分析の実施
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #2

プロジェクトマネージャーは、AIプロジェクトに関する最終報告書を作成している。報告書では、倫理的な懸念事項やデータ規制の遵守に焦点を当て、得られた教訓を明確に示さなければならない。さらに、チームはプロジェクト中にデータプライバシーに関連する複数の倫理的問題を特定した。
将来のAIプロジェクトにおいて、この状況に対処するための効果的なアプローチは何でしょうか?

  • A. 倫理的なAIの実践に関する追加トレーニングを提供する。
  • B. 強固な倫理的データガバナンスフレームワークを導入する。
  • C. 透明性のあるデータコンプライアンス利用ポリシーを策定する。
  • D. コンプライアンス監査の頻度を増やす。
Reveal Solution  Discussion  0

Correct Answer: B  🗳️

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Question #3

ある企業がAIソリューションの実用化を計画している。プロジェクトマネージャーは、リリース前にモデルのパフォーマンスが設定された基準値を満たしていることを確認する必要がある。
今回のリリース前にこれらのしきい値を確認する効果的な方法はありますか?

  • A. 複数のエンドユーザー受け入れテストの実施
  • B. 影響評価の実施
  • C. 一連の侵入テストを実施する
  • D. 検証データセットに対するテスト
Reveal Solution  Discussion  0

Correct Answer: D  🗳️

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Question #4

ある政府機関が、新たな規制に関する国民の意見を分析するために、自然言語処理(NLP)システムを導入しようとしている。プロジェクトチームは、データソースが適切に特定され、アクセス可能であることを確認する必要がある。
プロジェクトチームの目標を達成するための効果的な方法は何ですか?

  • A. 徹底的なデータインベントリ監査を実施し、それが適切に文書化されていることを確認する
  • B. 内部データカタログシステムの導入
  • C. 既存の顧客関係管理(CRM)システムを活用する
  • D. データウェアハウスソリューションを活用した集計
Reveal Solution  Discussion  0

Correct Answer: A  🗳️

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Question #5

プロジェクトマネージャーは、AIを活用した顧客サービスプラットフォームの緊急時対応計画を策定している。潜在的なシステム停止に対処するための効果的な戦略を策定する必要がある。
プロジェクトマネージャーの目的を達成するには、どの戦略が適切でしょうか?

  • A. AI障害への対応に関する顧客サービス担当者への包括的なトレーニングの提供
  • B. 重要な顧客からの問い合わせに対する手動オーバーライドシステムの導入
  • C. 機能が限定された自動フォールバックチャットボットの開発
  • D. 問題を迅速に特定して解決するための、堅牢な顧客サービスログシステムの構築
Reveal Solution  Discussion  0

Correct Answer: C  🗳️

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