AAISM퍼펙트덤프데모문제다운 - AAISM인기공부자료
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DumpTOP AAISM 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=17R68azekoGKa74pV3WGZ4pq02NMIadoQ
고객님의 시간을 조금이라도 절약해드리고 공을 적게 들여도 자격증 취득이 쉬워지도록 DumpTOP의 IT전문가들은 최신 실러버스에 따라 몇년간의 노하우와 경험을 충분히 활용하여ISACA AAISM시험대비자료를 연구제작하였습니다. ISACA AAISM 덤프를 공부하여 시험에서 떨어지는 경우 덤프비용환불 혹은 다른 과목으로 교환하는중 한가지 서비스를 제공해드립니다.
ISACA AAISM 시험요강:
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완벽한 AAISM퍼펙트 덤프데모문제 다운 시험패스의 강력한 무기
인테넷에 검색하면 ISACA AAISM시험덤프공부자료가 헤아릴수 없을 정도로 많이 검색됩니다. 그중에서DumpTOP의ISACA AAISM제품이 인지도가 가장 높고 가장 안전하게 시험을 패스하도록 지름길이 되어드릴수 있습니다.
최신 Isaca Certification AAISM 무료샘플문제 (Q212-Q217):
질문 # 212
A financial organization relies on AI-based identity verification and fraud detection services. Which of the following BEST integrates AI security risk into the business continuity plan (BCP)?
- A. Using explainable AI to document decision paths
- B. Duplicating AI microservices across multiple availability zones
- C. Including AI model supporting infrastructure in disaster recovery scenarios
- D. Periodic retraining using pre-labeled data
정답:C
설명:
AAISM stresses that AI systems and their supporting infrastructure must be explicitly included in disaster recovery and continuity planning, since disruptions to models, feature stores, or pipelines can halt critical business functions.
Explainability (A) and retraining (B) are operational improvements, not continuity mechanisms. Multi-zone redundancy (D) improves availability but does not represent complete BCP integration.
References: AAISM Study Guide - AI Business Continuity and Resilience Requirements.
질문 # 213
How can an organization BEST protect itself from payment diversions caused by deepfake attacks impersonating management?
- A. Implement resilient payment approval processes
- B. Require mandatory deepfake detection training for all employees
- C. Issue a security policy on deepfakes
- D. Mandate that payments be sent only once per week
정답:A
설명:
AAISM's risk management framework stresses that the most effective defense against deepfake-enabled fraud, such as payment diversion, is resilient payment approval processes. This includes multi-step verification, segregation of duties, and independent confirmations for high-value transactions. Employee training, policies, or limiting payment frequency may reduce exposure, but they cannot guarantee prevention.
Only process-based controls enforce structural safeguards that prevent fraudulent instructions from being executed, even if a deepfake impersonation attempt is successful.
References:
AAISM Exam Content Outline - AI Risk Management (Fraud and Deepfake Risk) AI Security Management Study Guide - Transactional Resilience and Controls
질문 # 214
A financial services firm received a regulatory fine after a vendor switched its chatbot's AI model without due diligence, resulting in unethical investment advice to the firm's clients. Which of the following controls should be implemented by the firm to BEST prevent recurrence of this scenario?
- A. Master services agreement
- B. Shared responsibility model
- C. Change management
- D. Data minimization
정답:C
설명:
AAISM requires formal change management for AI systems, including vendor-initiated changes: pre- approval, documented impact assessment (ethics/compliance/performance), regression testing, sign-off by accountable owners, and traceable release records. While MSAs (A) and shared responsibility models (B) set contractual/role baselines, they do not enforce per-change approvals. Data minimization (C) reduces exposure but does not control model substitutions.
References: AI Security Management™ (AAISM) Body of Knowledge - AI Governance: Change Control & Release Management; Third-Party AI Assurance and Approval Workflows; Accountability and Sign-off for Model Changes.
질문 # 215
Which of the following strategies BEST ensures generative AI tools do not expose company data?
- A. Implementing a solution to prohibit the input of sensitive data
- B. Testing AI tools before implementation
- C. Ensuring AI tools are compliant with local regulations
- D. Conducting an independent AI data audit
정답:A
설명:
AAISM prioritizes preventive controls at the point of use for generative AI, specifically input-governance and DLP controls that block or redact confidential, regulated, or high-risk data before it can be sent to external models. Audits, pre-deployment tests, and regulatory conformance are necessary but do not themselves prevent an employee from pasting sensitive content into prompts. Enforcing input restrictions, pattern-based redaction, policy-aware controls, and allow-lists for approved contexts provides the highest assurance of preventing exposure.
References:* AI Security Management (AAISM) Body of Knowledge: Data loss prevention for AI; prompt
/input controls; approved channels and guardrails for generative AI.* AI Security Management Study Guide: Preventive over detective controls for confidentiality; enterprise guardrails at prompt capture and egress points.
질문 # 216
When addressing privacy concerns related to AI systems, which of the following is the GREATEST significance of user consent for an organization?
- A. It prevents unauthorized access to data within the AI system
- B. It allows the organization to process user data in the AI system
- C. It enables users to delete and modify their personal data
- D. It helps the organization detect biases and ensure fairness
정답:B
설명:
Within AAISM's privacy governance, consent is a lawful basis that authorizes processing of personal data for defined purposes. Its principal significance is granting the organization the authority to process user data in AI workflows in line with stated purposes and limits. While fairness (A) and security controls (C) are essential, they are distinct obligations; data subject rights such as rectification/erasure (B) exist regardless of consent and are not "enabled" by it. Therefore, the greatest significance of consent is that it legally permits processing under declared purposes and constraints.
References: AI Security Management (AAISM) Body of Knowledge - Privacy & Data Protection in AI; Lawful Basis and Purpose Limitation. AAISM Study Guide - Consent, Transparency, and Data Subject Rights; Privacy-by-Design Controls in AI Pipelines.
질문 # 217
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DumpTOP는 응시자에게 있어서 시간이 정말 소중하다는 것을 잘 알고 있으므로 ISACA AAISM덤프를 자주 업데이트 하고, 오래 되고 더 이상 사용 하지 않는 문제들은 바로 삭제해버리며 새로운 최신 문제들을 추가 합니다. 이는 응시자가 확실하고도 빠르게ISACA AAISM덤프를 마스터하고ISACA AAISM시험을 패스할수 있도록 하는 또 하나의 보장입니다.
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DumpTOP AAISM 최신 PDF 버전 시험 문제집을 무료로 Google Drive에서 다운로드하세요: https://drive.google.com/open?id=17R68azekoGKa74pV3WGZ4pq02NMIadoQ
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