Real PMI PMI-CPMAI日本語 practice exam questions for easy pass!
Last Updated: Oct 18, 2026
No. of Questions: 161 Questions & Answers with Testing Engine
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Reference: https://www.pmi.org/certifications/ai-project-management-cpmai
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AI/機械学習(ML)モデルの構成管理中に、チームは異なるテストデータセット間でパフォーマンス指標に一貫性がないことを確認した。
何がこの不整合問題を引き起こすのでしょうか?
Correct Answer: D 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
あるITサービス会社は、サーバーのダウンタイムを予測することを目的としたAIプロジェクトのために、データ品質の検証を行っている。プロジェクトマネージャーは、データ準備を進めるかどうかを決定する必要がある。
プロジェクトマネージャーはどの手法を用いるべきでしょうか?
Correct Answer: C 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
プロジェクトマネージャーは、財務予測のためのAIモデルの導入を監督する任務を負っている。
彼らは、モデルの予測が信頼できるものであることを確認する必要がある。
モデルのエラー率が許容範囲を超えた場合、次に何が起こるでしょうか?
Correct Answer: D 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
ある航空宇宙企業は、AIプロジェクトのデータ準備段階にある。プロジェクトチームは、モデル開発の可否を判断するために、データの品質を検証する必要がある。そのため、サンプリングレートの異なる複数のセンサーからのデータを統合する必要がある。
データの一貫性を確保する上で効果的な方法は何ですか?
Correct Answer: C 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
航空宇宙製造プロジェクトにおいて、エンジニアたちは予測保守のためのAIシステムを訓練するためのデータ準備を行っている。モデル構築に先立ち、複数のセンサーから得られたデータを変換し、一貫性と正確性を確保する必要がある。
プロジェクトマネージャーは、こうした矛盾点をどのように処理すべきでしょうか?
Correct Answer: B,C 🗳️
Explanation: Only visible for itPass4sure members. You can sign-up / login (it's free).
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