IT업계에 종사하는 분이라면 국제적으로 인정받는 IT인증시험에 도전하여 자격증을 취득하셔야 합니다. Pass4Test의 ISACA인증 AAIR덤프는 이 시험에 참가한 IT인사들의 검증을 받은 최신 시험대비 공부자료입니다. Pass4Test의 ISACA인증 AAIR덤프로 시험을 쉽게 패스하여 자격증을 취득하면 승진이나 연봉인상에 많은 편리를 가져다드립니다. 저희는 항상 여러분들의 곁을 지켜줄것입니다.
| Section | Objectives |
|---|---|
| AI Lifecycle Controls | - Controls across AI development lifecycle
|
| Regulatory and Compliance Requirements | - Global AI regulatory landscape
|
| Ethics, Privacy, and Responsible AI | - Ethical AI principles and compliance
|
| AI Governance and Strategy | - AI governance frameworks and organizational oversight
|
| AI Risk Management | - Risk identification and assessment for AI systems
|
지금 같은 정보시대에, 많은 IT업체 등 사이트에ISACA AAIR인증관련 자료들이 제공되고 있습니다, 하지만 이런 사이트들도 정확하고 최신 시험자료 확보는 아주 어렵습니다. 그들의ISACA AAIR자료들은 아주 기본적인 것들뿐입니다. 전면적이지 못하여 응시자들의 관심을 쌓지 못합니다.
질문 # 57
An organization has deployed an AI system that initially performs well but whose outputs deteriorate over time despite stable input characteristics. Which of the following is the BEST course of action?
정답：D
설명：
Output deterioration despite stable inputs is a classic indicator of model drift-specifically concept drift, where the underlying relationships between inputs and targets change over time even when the distribution of inputs appears stable. This requires ongoing monitoring and systematic recalibration.
Why D is Correct: The ISACA AAIR life cycle management guidance identifies continuous performance monitoring and scheduled recalibration as the appropriate response to model drift. Monitoring provides early warning when performance degrades below thresholds, while scheduled recalibration ensures the model is periodically updated to reflect current real-world patterns. This systematic approach prevents continued deterioration and maintains model reliability.
Why A is Wrong: Source code audits and peer reviews address development quality and code integrity, not model drift. Drift is a statistical phenomenon driven by changing data relationships, not code defects that code reviews can identify.
Why B is Wrong: Replacing predictive AI with static rule-based systems eliminates the adaptive capabilities that make AI valuable. Static rules cannot respond to evolving patterns and typically perform worse in dynamic environments.
Why C is Wrong: Dataset cleansing addresses data quality for model retraining but does not establish the ongoing monitoring mechanism needed to detect future drift. A one-time cleansing activity cannot prevent recurrent deterioration.
질문 # 58
Which of the following AI techniques BEST helps to improve the accuracy of responses provided by a large language model (LLM) without extensive retraining?
정답：B
설명：
Within the ISACA Advanced in AI Risk framework, life-cycle controls should protect data quality, model design, testing, validation, monitoring, change management, and secure retirement of AI systems. Retrieval- augmented generation improves LLM responses by retrieving relevant external information at inference time and supplying it as context. This can improve grounding and currency without extensive retraining of the underlying model. This makes option B, Retrieval-augmented generation (RAG), the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
질문 # 59
Which AI security by design option BEST mitigates targeted model poisoning and supply chain tampering?
정답：C
설명：
Model poisoning attacks target the training data or model parameters to degrade performance or introduce malicious behavior. Supply chain tampering introduces compromised components at vendor or integration stages. Security by design principles require embedding defenses against these threats from the earliest design stages.
Why C is Correct: According to ISACA AAIR security by design guidance, adversarial resilience and data integrity controls address both model poisoning and supply chain tampering at their root. Adversarial resilience training prepares the model to resist maliciously crafted inputs. Data integrity controls- cryptographic signing, provenance tracking, integrity verification-detect tampering in training data and model artifacts across the supply chain. Together, these form the most comprehensive defense against both attack categories.
Why A is Wrong: Data refreshes with checksums detect post-hoc data corruption but do not build adversarial resilience into the model itself. Checksums verify file integrity but cannot prevent poisoning attacks that maintain file integrity while altering data content.
Why B is Wrong: Frequent retraining and bias monitoring address performance drift and fairness but do not specifically protect against deliberate tampering. A retrained model may still be trained on poisoned data if integrity controls are absent.
Why D is Wrong: Data tokenization protects sensitive field values from unauthorized access (a privacy control) but does not address model poisoning or supply chain tampering, which can occur without accessing or exposing the sensitive field values themselves.
질문 # 60
A risk practitioner learns that a credit-scoring AI system is exhibiting bias that cannot be eliminated through further training. Which of the following is the risk practitioner's BEST recommendation?
정답：D
설명：
Credit scoring AI systems are subject to anti-discrimination regulations that prohibit using models that produce biased outcomes affecting protected classes. When bias cannot be eliminated through technical means, continuing to operate the system creates ongoing legal violations and harm to affected individuals.
Why B is Correct: According to ISACA AAIR risk treatment guidance and legal compliance obligations, removing a biased credit-scoring system from production is the appropriate response when bias cannot be technically remediated. Continuing to operate a system known to produce discriminatory credit decisions violates anti-discrimination laws (such as the Equal Credit Opportunity Act), exposes the organization to regulatory enforcement, and causes ongoing harm to affected borrowers. Risk avoidance through system withdrawal is the appropriate treatment when the risk cannot be adequately mitigated.
Why A is Wrong: Requesting senior management risk acceptance for confirmed legal violations is inappropriate because organizations cannot accept risks involving known regulatory breaches. Senior management cannot legitimately authorize continued discriminatory lending practices.
Why C is Wrong: Sourcing a replacement system is a necessary future action but takes time to procure, validate, and deploy. In the interim, the biased system should not continue operating. Removing the system from production should precede replacement planning.
Why D is Wrong: Applying compensating controls to generate offsetting biases compounds the discriminatory problem rather than resolving it. Deliberately introducing additional bias-even in the opposite direction-creates an unpredictably biased model that does not produce fair outcomes.
질문 # 61
Which of the following is MOST important when adding override controls to a deployed AI system?
정답：A
설명：
Within the ISACA Advanced in AI Risk framework, program management connects risk identification, control selection, treatment, monitoring, resilience, third-party oversight, and reporting to enterprise risk objectives. Human override controls must preserve accountability. The organization should document who is authorized to intervene, under what conditions, and who owns the resulting decision so that human intervention does not create an accountability gap. This makes option D, Documenting accountability for decisions, the strongest answer. The other choices describe narrower technical, operational, performance, or administrative considerations and do not address the primary risk-management objective in the scenario as directly. A risk practitioner should select the response that most effectively reduces the stated exposure while preserving appropriate oversight, traceability, and alignment with organizational risk tolerance and business requirements.
질문 # 62
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저희 Pass4Test의 덤프 업데이트시간은 업계에서 가장 빠르다고 많은 덤프구매자 분들께서 전해주셨습니다. ISACA AAIR 덤프도 마찬가지 입니다. 저희는 수시로 덤프업데이트 가능성을 체크하여 덤프를 항상 시중에서 가장 최신버전이 될수있도록 최선을 다하고 있습니다. 구매후 1년무료업데이트서비스를 해드리기에 구매후에도 덤프유효성을 최대한 연장해드립니다.
AAIR인증시험자료: https://www.pass4test.net/AAIR.html