AAISM최신업데이트인증덤프, AAISM최신덤프샘플문제
ITDumpsKR의ISACA인증 AAISM덤프는 고객님의 IT인증자격증을 취득하는 소원을들어줍니다. IT업계에 금방 종사한 분은 자격증을 많이 취득하여 자신만의 가치를 업그레이드할수 있습니다. ITDumpsKR의ISACA인증 AAISM덤프는 실제 시험문제에 대비하여 연구제작된 퍼펙트한 시험전 공부자료로서 시험이 더는 어렵지 않게 느끼도록 편하게 도와드립니다.
ITDumpsKR의ISACA인증 AAISM덤프는 인터넷에서 검색되는ISACA인증 AAISM시험공부자료중 가장 출중한 시험준비 자료입니다. ISACA인증 AAISM덤프를 공부하면 시험패스는 물론이고 IT지식을 더 많이 쌓을수 있어 일거량득입니다.자격증을 취득하여 자신있게 승진하여 연봉협상하세요.
ISACA AAISM최신 덤프샘플문제 - AAISM높은 통과율 시험공부
ISACA인증 AAISM시험을 어떻게 공부하면 패스할수 있을지 고민중이시면 근심걱정 버리시고ITDumpsKR 의 ISACA인증 AAISM덤프로 가보세요. 문항수가 적고 적중율이 높은 세련된ISACA인증 AAISM시험준비 공부자료는ITDumpsKR제품이 최고입니다.
최신 Isaca Certification AAISM 무료샘플문제 (Q68-Q73):
질문 # 68
Which of the following MOST effectively minimizes the attack surface when securing AI agent components during their development and deployment?
정답：C
설명：
The most effective strategy tominimize attack surfacesin AI agent security is to apply compartmentalization and least privilege enforcement.
AAISM control frameworks emphasize:
* Isolation of components (e.g., training, inference, data pipelines) to limit lateral movement.
* Principle ofleast privilegeto restrict access only to what is required for function.
* Hardening AI pipelines through segmentation rather than relying solely on manual reviews or monitoring.
Pre-trained models and log centralization are useful but do not directly reduce the attack surface.Manual code reviewsare important but insufficient against runtime exploitation.
Thus,compartmentalization with least privilege enforcementis the most effective technical safeguard.
질문 # 69
A financial institution plans to deploy an AI system to provide credit risk assessments for loan applications.
Which of the following should be given the HIGHEST priority in the system's design to ensure ethical decision-making and prevent bias?
정답：C
설명：
In AI governance frameworks, credit scoring is treated as a high-risk application. For such systems, the highest-priority safeguard is human oversight to ensure fairness, accountability, and prevention of bias in automated decisions.
The AI Security Management™ (AAISM) domain of AI Governance and Program Management emphasizes that high-impact AI systems require explicit governance structures and human accountability. Human-in-the- loop design ensures that final decisions remain the responsibility of human experts rather than being fully automated. This is particularly critical in financial contexts, where biased outputs can affect individuals' access to credit and create compliance risks.
Official ISACA AI governance guidance specifies:
High-risk AI systems must comply with strict requirements, including human oversight, transparency, and fairness.
The purpose of human oversight is to reduce risks to fundamental rights by ensuring humans can intervene or override an automated decision.
Bias controls are strengthened by requiring human review processes that can analyze outputs and prevent unfair discrimination.
Why other options are not the highest priority:
A). Regular updates improve accuracy but do not guarantee fairness or ethical decision-making. Model drift can introduce new bias if not governed properly.
B). Appeals mechanisms are important for accountability, but they operate after harm has occurred.
Governance frameworks emphasize prevention through human oversight in the decision loop.
D). Restricting criteria to "objective metrics" is insufficient, as even objective data can contain hidden proxies for protected attributes. Bias mitigation requires monitoring, testing, and human oversight, not only feature restriction.
AAISM Domain Alignment:
Domain 1 - AI Governance and Program Management: Ensures accountability, ethical oversight, and governance structures.
Domain 2 - AI Risk Management: Identifies and mitigates risks such as bias, discrimination, and lack of transparency.
Domain 3 - AI Technologies and Controls: Provides the technical enablers for implementing oversight mechanisms and bias detection tools.
References from AAISM and ISACA materials:
AAISM Exam Content Outline - Domain 1: AI Governance and Program Management (roles, responsibilities, oversight).
ISACA AI Governance Guidance (human oversight as mandatory in high-risk AI applications).
Bias and Fairness Controls in AI (human review and intervention as a primary safeguard).
질문 # 70
Which of the following AI-driven systems should have the MOST stringent recovery time objective (RTO)?
정답：D
설명：
AAISM risk guidance notes that the most stringent recovery objectives apply to industrial control systems, as downtime can directly disrupt critical infrastructure, manufacturing, or safety operations. Health support systems also require high availability, but industrial control often underpins safety-critical and real-time environments where delays can result in catastrophic outcomes. Credit risk models and navigation systems are important but less critical in terms of immediate physical and operational impact. Thus, industrial control systems require the tightest RTO.
References:
AAISM Study Guide - AI Risk Management (Business Continuity in AI)
ISACA AI Security Management - RTO Priorities for AI Systems
질문 # 71
Which of the following would BEST help to prevent the compromise of a facial recognition AI system through the use of alterations in facial appearance?
정답：B
설명：
AAISM materials note that adversaries may attempt to bypass facial recognition by disguising or altering appearance. The most effective mitigation is to enhance training data with a wide range of variances in facial features, lighting, and disguises so the system can robustly detect authentic users despite adversarial attempts.
Monitoring and secondary confirmation are supportive controls but are reactive. Fine-tuning to reduce hallucinations is irrelevant in this context, as hallucinations apply more to generative AI. The best preventive measure is strengthening the model with diverse, variance-rich training data.
References:
AAISM Study Guide - AI Technologies and Controls (Robust Training Data Strategies) ISACA AI Security Management - Biometric AI Security Risks
질문 # 72
To ensure AI tools do not jeopardize ethical principles, it is MOST important to validate that:
정답：D
설명：
AAISM highlights that the core ethical risk in AI is the perpetuation of bias that results in unfair or discriminatory outcomes. Therefore, the most important validation step is ensuring that outputs of AI systems are free from adverse biases. A responsible development policy, stakeholder approvals, and privacy reviews all contribute to governance, but they do not directly ensure ethical outcomes. Validation of output fairness is the critical safeguard for ensuring AI does not violate ethical principles.
References:
AAISM Study Guide - AI Risk Management (Bias and Ethics Validation)
ISACA AI Security Management - Ethical AI Practices
질문 # 73
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ITDumpsKR에서 출시한 ISACA 인증 AAISM시험덤프는ITDumpsKR의 엘리트한 IT전문가들이 IT인증실제시험문제를 연구하여 제작한 최신버전 덤프입니다. 덤프는 실제시험의 모든 범위를 커버하고 있어 시험통과율이 거의 100%에 달합니다. 제일 빠른 시간내에 덤프에 있는 문제만 잘 이해하고 기억하신다면 시험패스는 문제없습니다.
AAISM최신 덤프샘플문제: https://www.itdumpskr.com/AAISM-exam.html
ISACA인증 AAISM시험공부를 아직 시작하지 않으셨다면 망설이지 마시고ITDumpsKR의ISACA인증 AAISM덤프를 마련하여 공부를 시작해 보세요, AAISM시험문제가 변경되면 AAISM덤프도 최신버전으로 업데이트하도록 최선을 다하고 있습니다, 덤프품질에 믿음이 생기지 않는다면 저희 사이트에서 AAISM 덤프 무료샘플을 다운받으셔서 덤프품질을 검증해보시면 됩니다, ISACA AAISM최신 업데이트 인증덤프 시험을 쉽게 패스한 원인은 저희 사이트에서 가장 적중율 높은 자료를 제공해드리기 때문입니다.덤프구매후 1년무료 업데이트를 제공해드립니다, ISACA AAISM최신 업데이트 인증덤프 시간 도 절약하고 돈도 적게 들이는 시험대비자료는 여러분들한테 딱 좋은 해결 책이라고 봅니다.
저도 모르게 입꼬리가 스륵 올라간 테스리안은 그녀를 들였다, 어떻게 저 사이를 파고들어야 하나 생각하는 찰나, 등 뒤에서 누군가 어깨를 두드렸다, ISACA인증 AAISM시험공부를 아직 시작하지 않으셨다면 망설이지 마시고ITDumpsKR의ISACA인증 AAISM덤프를 마련하여 공부를 시작해 보세요.
최신 AAISM덤프,AAISM시험의 모든 내용을 덮고 있습니다.
AAISM시험문제가 변경되면 AAISM덤프도 최신버전으로 업데이트하도록 최선을 다하고 있습니다, 덤프품질에 믿음이 생기지 않는다면 저희 사이트에서 AAISM 덤프 무료샘플을 다운받으셔서 덤프품질을 검증해보시면 됩니다.
시험을 쉽게 패스한 원인은 저희 사이트에서 가장 적중율 높은 자료를 제공해드리AAISM기 때문입니다.덤프구매후 1년무료 업데이트를 제공해드립니다, 시간 도 절약하고 돈도 적게 들이는 시험대비자료는 여러분들한테 딱 좋은 해결 책이라고 봅니다.
