AAISM最新試験 & AAISM練習問題集

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ISACA AAISM Exam Overview:

Certification Vendor:ISACA
Exam Name:Advanced in AI Security Management (AAISM) Exam
Exam Number:AAISM
Available Languages:English, Spanish
Certificate Validity Period:3 years (continuing professional education required for renewal)
Passing Score:450/800
Exam Format:Multiple-choice questions
Exam Price:USD 459 (member) / USD 599 (non-member)
Real Exam Qty:90
Related Certifications:CISM
CISSP
Exam Duration:150 minutes
Recommended Training:ISACA Official Training & Review Materials
Exam Registration:ISACA AAISM Credentialing Page
Sample Questions:ISACA AAISM Sample Questions
Exam Way:Computer-based exam (online proctored or authorized test center)
Pre Condition:Recommended: Active CISM or CISSP certification and experience in IT/security management or advisory roles
Official Syllabus URL:https://www.isaca.org/credentialing/aaism

>> AAISM最新試験 <<

ISACA AAISM練習問題集 & AAISMテスト模擬問題集

ほぼすべてのJPNTestお客様がAAISM試験に合格し、AAISM試験トレントの助けを借りて関連する認定資格を簡単に取得できます。あなたが例外になることは不可能だと強く信じています。 したがって、ISACAのAAISM試験問題を選択すると、実際には、近い将来に昇進する機会が増えることを意味します。さらに、関連分野でAAISM認定で才能を示したとき、当然、あなたは ISACA Advanced in AI Security Management (AAISM) Examキャリアライフに大きな影響を与える可能性のある多くの著名人と友達の輪を広げてください。

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 Governance and Program Management: This section of the exam measures the abilities of AI Security Governance Professionals and focuses on advising stakeholders in implementing AI security through governance frameworks, policy creation, data lifecycle management, program development, and incident response protocols.
トピック 2
  • AI Risk Management: This section of the exam measures the skills of AI Risk Managers and covers assessing enterprise threats, vulnerabilities, and supply chain risk associated with AI adoption, including risk treatment plans and vendor oversight.
トピック 3
  • AI Technologies and Controls: This section of the exam measures the expertise of AI Security Architects and assesses knowledge in designing secure AI architecture and controls. It addresses privacy, ethical, and trust concerns, data management controls, monitoring mechanisms, and security control implementation tailored to AI systems.

ISACA Advanced in AI Security Management (AAISM) Exam 認定 AAISM 試験問題 (Q334-Q339):

質問 # 334
Which of the following metrics BEST evaluates the ability of a model to correctly identify all true positive instances?

正解:A

解説:
AAISM technical coverage identifies recall as the metric that specifically measures a model's ability to capture all true positive cases out of the total actual positives. A high recall means the system minimizes false negatives, ensuring that relevant instances are not overlooked. Precision instead measures correctness among predicted positives, specificity focuses on true negatives, and the F1 score balances precision and recall but does not by itself indicate the completeness of capturing positives. The official study guide defines recall as the most direct metric for evaluating how well a model identifies all relevant positive cases, making it the correct answer.
References:
AAISM Study Guide - AI Technologies and Controls (Evaluation Metrics and Model Performance) ISACA AI Security Management - Model Accuracy and Completeness Assessments


質問 # 335
Which of the following BEST enables an organization to minimize risk from shadow AI?

正解:B

解説:
Detective controls provide visibility into unauthorized AI usage, while employee training promotes awareness and responsible behavior. Together, they address both detection and prevention, making them the most effective approach to minimizing risks associated with shadow AI.


質問 # 336
A school district contracts a third-party provider for AI-based curriculum recommendations. Which of the following is the BEST way to ensure the vendor uses AI responsibly?

正解:A

解説:
AAISM emphasizes transparency artifacts from vendors to enable due diligence and assurance. A model card documents intended use, data sources, limitations, performance across subgroups, known risks, and evaluation procedures-information necessary to assess safety, fairness, and compliance for sensitive contexts like education. SSO and support are useful operational features; generic ToS updates are insufficient without model-specific disclosures.
References: AI Security Management™ (AAISM) Body of Knowledge - Third-Party & Supply Chain Governance; Transparency Artifacts (Model Cards, Datasheets). AAISM Study Guide - Vendor Due Diligence Requirements; Documentation for Risk, Fairness, and Intended Use.


質問 # 337
During the deployment of a generative AI platform, a risk assessment highlighted threats such as data leakage and prompt manipulation. Which of the following is the BEST way to ensure appropriate control selection?

正解:C

解説:
AAISM requires that control selection be threat-led and context-specific, aligning AI threats to the organization's existing enterprise control catalogs (security, privacy, resilience) and augmenting them with AI-specific safeguards where coverage is insufficient. This ensures consistency with the risk appetite, removes duplication, and closes AI-unique gaps (e.g., prompt injection, data leakage from context windows, model misuse). Generic reliance on vendors or uncustomized external frameworks does not ensure fit-for-purpose coverage, and deferring control selection to post-deployment contradicts proactive risk treatment.


質問 # 338
When deriving statistical information from AI systems, which source of risk is MOST important to address?

正解:B

解説:
AAISM emphasizes systemic or structural bias as a high-impact risk because biased data leads directly to discriminatory insights or decisions when used for analytics or reporting. This risk affects fairness, compliance, and organizational reputation.


質問 # 339
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AAISM練習問題集: https://www.jpntest.com/shiken/AAISM-mondaishu

ちなみに、JPNTest 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=1onuQidk9CIcvJl70jRISJdCmm3NPJ04W