최신업데이트된AAISM인기자격증덤프자료인증공부자료

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ISACA AAISM Exam Overview:

Certification Vendor:	ISACA
Exam Name:	Advanced in AI Security Management (AAISM) Exam
Exam Number:	AAISM
Exam Price:	USD 459 (member) / USD 599 (non-member)
Passing Score:	450/800
Related Certifications:	CISSP CISM
Available Languages:	English, Spanish
Exam Format:	Multiple-choice questions
Exam Duration:	150 minutes
Real Exam Qty:	90
Certificate Validity Period:	3 years (continuing professional education required for renewal)
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

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AAISM최신버전 시험덤프문제 - AAISM최고덤프샘플

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ISACA AAISM 시험요강:

주제	소개
주제 1	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.
주제 2	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.
주제 3	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.

최신 ISACA AAISM Certification AAISM 무료샘플문제 (Q138-Q143):

질문 # 138
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. Change management
B. Shared responsibility model
C. Master services agreement
D. Data minimization

정답：A

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 # 139
Secure aggregation enhances the security of federated learning systems by:

A. Applying differential privacy techniques to mask sensitive information in training data
B. Processing client updates in isolation to reduce the risk of exposing sensitive information
C. Encrypting individual model updates during transmission to ensure only the server can access the data
D. Ensuring individual client contributions remain confidential even if the server is compromised

정답：D

설명：
Secure aggregation cryptographically aggregates client updates so that the server learns only the sum
/aggregate, not any single client's update. Properly implemented, the server cannot recover individual contributions-even if compromised-thereby preserving client confidentiality. Option C (encryption in transit) is insufficient because decryption at the server reveals updates; Option A is procedural, not cryptographic; Option B (differential privacy) is a separate technique and not the defining property of secure aggregation.
References: AAISM Body of Knowledge: Privacy-Preserving ML-Federated Learning and Secure Aggregation; AAISM Study Guide: Threat Models for Aggregation Servers and Confidentiality Guarantees.

질문 # 140
Which of the following is the BEST reason to involve a diverse team when evaluating the data used within an AI system?

A. It ensures that scenarios are reviewed thoroughly.
B. It reduces the likelihood of a risk being overlooked.
C. It ensures the output is representative of target end users.
D. It reduces the perception of bias by the media and users.

정답：B

설명：
Involving a diverse team provides broader perspectives, experiences, and expertise during evaluation of AI data. This helps identify hidden biases, ethical concerns, security issues, and other risks that might otherwise be overlooked by a less diverse review group.

질문 # 141
Which phase of the AI data life cycle presents the GREATEST inherent risk?

A. Monitoring
B. Training
C. Preparation
D. Maintenance

정답：B

설명：
AAISM identifies training as the phase with the highest inherent risk because this is where:
* data poisoning can occur
* sensitive data may be exposed
* bias can be introduced
* model inversion risks originate
* security and privacy vulnerabilities are embedded
Preparation (C) carries risk but is less critical. Maintenance (B) and monitoring (A) involve operational safeguards, not foundational risk creation.
References: AAISM Study Guide - AI Data Life Cycle Risks; High-Risk Model Training Phase.

질문 # 142
The CEO of a large multi-sector organization has learned that, in the absence of formal guidance, business units have created shadow IT by integrating AI into their daily operations. In response, an AI governance group has been created to address the issue. Which of the following is MOST important for the group to collect from each business unit?

A. Business continuity plan (BCP)
B. Inventory of models in use
C. API key management practices
D. Software bill of materials

정답：B

설명：
Establishing a comprehensive inventory of AI models in use provides immediate visibility into shadow IT, enabling the governance group to understand scope, assess risks, and prioritize controls. This foundational step is necessary before addressing operational practices or implementing governance measures.

질문 # 143
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