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[Hardware] ISACA AAISM日本語独学書籍、AAISM過去問題

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【Hardware】 ISACA AAISM日本語独学書籍、AAISM過去問題

Posted at yesterday 01:25      View：9 | Replies：0        Print      Only Author   [Copy Link] 1#
さらに、Jpexam AAISMダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1Xvsn1ot3CYSRE-VlQYyFWlzP3NfuZLfu
Jpexamは異なるトレーニングツールと資源を提供してあなたのISACAのAAISMの認証試験の準備にヘルプを差し上げます。編成チュートリアルは授業コース、実践検定、試験エンジンと一部の無料なPDFダウンロードを含めています。
ISACA AAISM 認定試験の出題範囲：
トピック出題範囲
トピック 1
  • AI ガバナンスとプログラム管理: 試験のこのセクションでは、AI セキュリティ ガバナンス プロフェッショナルの能力を測定し、ガバナンス フレームワーク、ポリシー作成、データ ライフサイクル管理、プログラム開発、インシデント対応プロトコルを通じて AI セキュリティを実装する際に関係者にアドバイスすることに重点を置いています。
トピック 2
  • AI リスク管理: 試験のこのセクションでは、AI リスク管理者のスキルを測定し、リスク処理計画やベンダー監視など、AI 導入に関連する企業の脅威、脆弱性、サプライ チェーン リスクの評価をカバーします。
トピック 3
  • AIテクノロジーとコントロール：このセクションでは、AIセキュリティアーキテクトの専門知識を測定し、安全なAIアーキテクチャとコントロールの設計に関する知識を評価します。プライバシー、倫理、信頼に関する懸念事項、データ管理コントロール、監視メカニズム、そしてAIシステムに合わせたセキュリティコントロールの実装について扱います。

AAISM最新で有効の問題、AAISM pdf問題集参考書、AAISM学習予備資料最近、ISACAの認定試験はますます人気があるようになっています。それと同時に、ISACAの認証資格ももっと重要になっています。IT業界では広く認可されている試験として、AAISM認定試験はISACAの中の最も重要な試験の一つです。この試験の認証資格を取ったら、あなたは多くの利益を得ることができます。あなたもこの試験を受ける予定があれば、JpexamのAAISM問題集は試験に準備するときに欠くことができないツールです。この問題集はAAISM認定試験に関連する最も優秀な参考書ですから。
ISACA Advanced in AI Security Management (AAISM) Exam 認定 AAISM 試験問題 (Q229-Q234):質問 # 229
Which of the following is the MOST effective action an organization can take to address data security risk when using generative AI features in an application?
  • A. Establish policies and awareness training for acceptable AI use
  • B. Establish IP ownership guidelines with third parties
  • C. Require opt-out provisions for data usage
  • D. Rely on the AI provider's independent audit reports
正解：A
解説：
AAISM stresses that the largest and most immediate risk for generative AI is unintentional data leakage by employees, making acceptable-use policies and staff training the most effective short-term risk mitigation.
Users must be instructed not to input sensitive data, understand usage restrictions, and follow governance requirements.
Relying solely on third-party audits (D) is insufficient. IP agreements (A) and opt-out clauses (B) are contractual protections, not operational safeguards.
References: AAISM Study Guide - Generative AI Security Risks; Policy and Awareness as Primary Controls.

質問 # 230
Which of the following BEST describes the role of model cards in AI solutions?
  • A. They are used to automatically fine-tune AI models by adjusting hyperparameters based on user feedback
  • B. They help developers create synthetic data and train AI models
  • C. They are primarily used to visualize the performance of AI models
  • D. They provide a standardized way to document the training data and AI model use cases
正解：D
解説：
AAISM positions model cards as standardized documentation artifacts that record intended use and out-of- scope use, training/evaluation data characteristics, performance metrics across groups, limitations/risks, and governance controls/owners. Their purpose is transparency and assurance, not automated tuning or synthetic data generation. Visualization (A) may appear within a card, but the core role is structured documentation for governance, risk, and compliance.
References: AI Security Management™ (AAISM) Body of Knowledge - Documentation & Transparency Artifacts; Model Cards for Governance, Risk, and Assurance; Intended Use, Limitations, and Performance Disclosure.

質問 # 231
Which of the following should be included in an AI acceptable use policy?
  • A. AI training data requirements
  • B. Data collection and storage processes
  • C. AI monitoring requirements
  • D. Ethical and legal compliance standards
正解：D
解説：
An AI acceptable use policy (AUP) sets the organizational expectations and boundaries for how AI systems may be used by employees and third parties. AAISM guidance places emphasis on ethical and legal compliance standards as core elements of an AUP to govern responsible behavior, prevent misuse, and align with regulatory and organizational principles. While data requirements, collection/storage processes, and monitoring may be covered in adjacent standards and procedures (e.g., data management policies, SOPs, and operational runbooks), the AUP's essential function is to codify permissible use anchored to ethics, legality, and organizational values.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Governance Policies and Codes of Conduct; Responsible Use Principles. AAISM Study Guide - Policy Hierarchy and Control Mapping; Acceptable Use and Staff Obligations.

質問 # 232
Which of the following is the BEST way to reduce the risk of misuse of an AI agent that has access to critical data and systems?
  • A. Allow users to configure the agent for productivity
  • B. Limit human review of AI decisions
  • C. Prohibit users from manipulating agent behavior
  • D. Validate agent compliance with output restrictions
正解：D
解説：
AAISM frameworks highlight output-based controls, including output filtering, restriction validation, and policy-aligned guardrails as primary defenses for AI agents with high privileges. Ensuring the agent does not output unauthorized instructions or sensitive data directly mitigates misuse.
Allowing user configuration (B) increases risk. Prohibiting manipulation entirely (C) is impractical. Reducing human oversight (D) increases system abuse potential.
References: AAISM Study Guide - AI Agents, Output Controls, and Guardrails.

質問 # 233
Which of the following BEST ensures AI components are validated as part of disaster recovery testing?
  • A. Running simulated data loss scenarios by erasing test records from the AI system's feature store
  • B. Monitoring model performance metrics during failover and recovery to assess system stability
  • C. Simulating denial of service (DoS) attacks against AI APIs to evaluate detection capabilities
  • D. Disconnecting primary model training clusters to test retraining workflow during extended outages
正解：B
解説：
Business continuity and disaster recovery (BC/DR) exercises for AI must validate that critical AI components (feature stores, model registries, inference services, pipelines) operate within agreed recovery objectives during failover and restoration. Monitoring and evaluating model performance and stability during DR tests provides objective evidence that AI services remain functional, accurate, and reliable under contingency conditions, thereby validating the AI stack end-to-end.
Option A focuses on retraining during outages (a niche scenario) rather than validating service continuity for production inference. Option B is security testing, not BC/DR validation. Option C tests data loss handling but does not comprehensively validate AI service behavior across failover and recovery.
References: AI Security Management (AAISM) Body of Knowledge: "Operational Resilience-BC/DR for AI Systems," "Validation and Evidence of Continuity"; AAISM Study Guide: "AI DR Test Planning- Metrics, Model Performance Validation, and Recovery Readiness."

質問 # 234
......
当社ISACAでは、AAISM試験問題についてより幅広い選択肢をお客様に提供することを常に重視しています。 今、私たちは約束を実現しました。 私たちのウェブサイトは、ほぼすべての種類の公式テストと一般的な証明書をカバーするAAISM学習教材を提供します。 したがって、JpexamのAAISMトレーニングガイドのウェブサイトで必要なものを簡単に見つけることができます。 ウェブサイトのすべてのAAISM学習資料は専門的かつ正確であり、学習のプレッシャーを大幅に軽減し、夢のISACA Advanced in AI Security Management (AAISM) ExamのAAISM認定を取得するのに役立ちます。
AAISM過去問題: https://www.jpexam.com/AAISM_exam.html
ちなみに、Jpexam AAISMの一部をクラウドストレージからダウンロードできます：https://drive.google.com/open?id=1Xvsn1ot3CYSRE-VlQYyFWlzP3NfuZLfu
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