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最受歡迎的AAISM考古題更新，由ISACA權威專家撰寫

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ISACA AAISM 考試大綱：

主題
簡介

主題 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.

主題 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.

主題 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.

>> AAISM考古題更新 <<

授權的ISACA ISACA Advanced in AI Security Management (AAISM) Exam中的最佳AAISM考古題更新和領導者資格考試

為了讓生活過得更好些，參加 AAISM 認證考試獲取 ISACA 認證是每位選擇IT行業的工作人員必經之路。只有獲取了公司要求的這張證書既可獲得加薪和升遷的機會。而 ISACA 在考古題考試方面的雄厚實力源於業界企業的大力支持。數千家公司均依託 ISACA 標準來提供一個可靠的員工業績評估。此外，數十家擁有自己考古題專案的公司也非常信賴 ISACA 的 AAISM 考古題，以確保員工具備扎實的技能功底。此舉可以為公司節省大量的時間和開銷。

最新的 Isaca Certification AAISM 免費考試真題 (Q82-Q87):

問題 #82
An organization recently introduced a generative AI chatbot that can interact with users and answer their queries. Which of the following would BEST mitigate hallucination risk identified by the risk team?

A. Fine-tuning the foundational model
B. Ensuring model developers have been trained in AI risk
C. Training the foundational model on large data sets
D. Performing model testing and validation

答案：A

解題說明：
AAISM highlights fine-tuning foundational models as one of the most effective strategies for reducing hallucination risk. By tailoring the model with domain-specific, curated, and verified datasets, organizations can reduce the frequency of irrelevant or fabricated outputs. Testing and validation help evaluate risks but do not directly minimize hallucinations. Training on larger datasets may improve generalization but does not guarantee accuracy. Developer training in AI risk supports governance but is not a technical control against hallucinations. The best mitigation is fine-tuning to align the chatbot with trusted, context-specific knowledge.
References:
AAISM Study Guide - AI Risk Management (Hallucination and Output Integrity Risks) ISACA AI Security Management - Fine-tuning Generative Models

問題 #83
Which of the following BEST enables an organization to maintain visibility to its AI usage?

A. Maintaining a comprehensive inventory of AI systems and business units that leverage them
B. Maintaining a monthly dashboard that captures all AI vendors
C. Measuring the impact of AI implementation using key performance indicators (KPIs)
D. Ensuring the board approves the policies and standards that define corporate AI strategy

答案：A

解題說明：
The AAISM framework stresses that the most effective way to maintain oversight of organizational AI usage is by maintaining a comprehensive inventory of all AI systems and the business units using them. Such an inventory provides a centralized, transparent record of where AI is deployed, ensuring accountability, monitoring, and compliance. While board approval, dashboards, and KPIs are important governance tools, they do not provide holistic visibility across the enterprise. The inventory ensures traceability and governance alignment, making it the best method to maintain visibility of AI usage.
References:
AAISM Study Guide - AI Governance and Program Management (AI Inventories) ISACA AI Security Management - Centralized Oversight of AI Assets

問題 #84
An organization plans to implement a new AI system. Which of the following is the MOST important factor in determining the level of risk monitoring activities required?

A. The organization's risk tolerance
B. The organization's number of AI system users
C. The organization's compensating controls
D. The organization's risk appetite

答案：A

解題說明：
AAISM risk management guidance clarifies that the organization's risk tolerance is the most important factor in determining how much monitoring is needed. Risk tolerance specifies the amount of risk the organization is willing to accept and defines the threshold for triggering monitoring or mitigation activities. Risk appetite is broader and strategic, while tolerance sets the operational limits. The number of users may influence scale, and compensating controls may affect resilience, but neither dictates monitoring intensity as directly as risk tolerance.
References:
AAISM Study Guide - AI Risk Management (Risk Appetite vs. Tolerance)
ISACA AI Security Management - Monitoring Based on Risk Tolerance

問題 #85
An organization has requested a developer to apply AI algorithms to existing modules in order to improve customer service quality. At this stage, which of the following should be considered FIRST?

A. Project sponsors may need to agree on a phased approach in order to ensure safe release
B. IT management may need to revise the service agreement if AI behavior cannot be predefined
C. The organization may need to explain the performance of the applied AI algorithm
D. The developer may need to be held accountable for business inquiries raised by customers

答案：B

解題說明：
According to AAISM governance principles, when AI functionality is added to existing services, the first consideration is contractual and service-level accountability. If AI outputs cannot be predefined, the existing service agreements may no longer reflect performance responsibilities or liability. Revising or updating the agreement ensures governance alignment, accountability, and risk management for AI-driven behavior.
Phased approaches and performance explanations are valuable but occur later in project management.
Developer accountability for customer inquiries is not a primary governance step. The most immediate consideration is revising service agreements when AI introduces new uncertainties.
References:
AAISM Exam Content Outline - AI Governance and Program Management (Policies and Service Agreements) AI Security Management Study Guide - Accountability in AI Deployments

問題 #86
An organization develops and implements an AI-based plug-in for users that summarizes their individual emails. Which of the following is the GREATEST risk associated with this application?

A. Insufficient rate limiting for APIs
B. Data format incompatibility
C. Lack of application vulnerability scanning
D. Inadequate controls over parameters

答案：D

解題說明：
According to AAISM risk management guidance, the greatest risk in AI applications handling personal communication data is inadequate parameter controls, which may allow unintended access, manipulation, or leakage of sensitive information. Plug-ins that interact with emails must enforce strict parameter validation and security restrictions to prevent unauthorized or manipulated inputs. While vulnerability scanning, format incompatibility, and API rate limiting are valid concerns, they are secondary. The primary risk is a lack of strong parameter controls that could expose sensitive content.
References:
AAISM Exam Content Outline - AI Risk Management (Application Security Risks) AI Security Management Study Guide - Plug-in and API Security Risks

問題 #87
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