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[General] Exam AAIA Cram, AAIA Exam Pass Guide

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【General】 Exam AAIA Cram, AAIA Exam Pass Guide

Posted at 3 hour before      View：5 | Replies：1        Print      Only Author   [Copy Link] 1#
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ISACA AAIA Exam Syllabus Topics:
TopicDetails
Topic 1
  • AI GOVERNANCE AND RISK: It encompasses understanding different AI models and their life cycles, guiding AI strategy, defining roles and policies, managing AI-related risks, overseeing data privacy and governance, and ensuring adherence to ethical practices, standards, and regulations.
Topic 2
  • AI Operations: It covers managing AI-specific data needs—including collection, quality, security, and classification—applying development lifecycle methodologies with privacy and security by design, change and incident management, testing AI solutions, identifying AI-related threats and vulnerabilities, and supervising AI deployments.
Topic 3
  • Auditing Tools and Techniques: This section of the exam measures the skills of AI auditors and centers on auditing AI systems using appropriate tools and methods. It includes audit planning and design, sampling methodologies specific to AI, collecting audit evidence, using data analytics for quality assurance, and producing AI audit outputs and reports, including follow-up and quality control measures.

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ISACA Advanced in AI Audit Sample Questions (Q36-Q41):NEW QUESTION # 36
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?
  • A. Ensuring the organization has a dedicated AI governance committee
  • B. Verifying that all employees have completed mandatory AI ethics training
  • C. Reviewing documentation for AI system changes, updates, and patches
  • D. Conducting a comprehensive risk assessment specific to AI-related changes
Answer: D
Explanation:
The AAIA™ Study Guide emphasizes that AI implementations introduce dynamic and non-deterministic elements into systems, increasing the risk associated with changes. A comprehensive, AI-specific risk assessment is therefore the most critical component of a change management program to ensure that updates, retraining, or parameter adjustments do not introduce vulnerabilities or unintended consequences.
"Risk assessments tailored to AI are crucial because changes to models, training data, or infrastructure can affect performance, ethical compliance, or expose the system to new threats. A standard IT change review is often insufficient." While having a governance committee (A) and reviewing documentation (B) are important supporting practices, only option C directly mitigates the core risks of AI system change. Ethics training (D) supports awareness but is not directly tied to change control.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Change Management and AI Risk Control"

NEW QUESTION # 37
Which of the following provides the BEST evidence that an organization's AI integration is aligned with its overall technology strategy?
  • A. The organization has developed and socialized AI use policies.
  • B. The IT department includes many individual contributors with AI expertise.
  • C. Key performance indicators (KPIs) have been defined for AI systems.
  • D. Management promotes a culture of innovation.
Answer: C
Explanation:
The BEST evidence of alignment between AI integration and technology strategy is thatclear KPIs(A) have been defined for AI systems and tied to strategic objectives, measurable outcomes, and governance oversight.
KPIs demonstrate that AI initiatives are monitored, performance is evaluated, and outcomes align with enterprise value.
Policies (B) are foundational but do not demonstrate strategic alignment. Innovation culture (C) is broad and subjective. AI expertise (D) indicates capability, not alignment. AAIA stresses linking AI outcomes to business goals throughmetrics, monitoring, and governance dashboards.
References:
ISACA,AAIA Exam Content Outline- Domain 1: AI Governance and Strategy Alignment.

NEW QUESTION # 38
Which of the following testing techniques would BEST validate whether an organization's data governance program effectively ensures data quality and integrity for AI model training and deployment?
  • A. Conducting a penetration test to identify vulnerabilities in the model
  • B. Assessing data lineage to verify the traceability of data sources
  • C. Performing a business impact analysis (BIA) to assess the consequences of AI model failure
  • D. Reviewing the organization's AI software development life cycle documentation
Answer: B

NEW QUESTION # 39
When an IS auditor is reviewing results from an AI system, which of the following would cause the GREATEST risk?
  • A. Cascading failures of AI system outputs
  • B. Inability to identify where an AI system is housed
  • C. Difficulty of documenting AI algorithm processes
  • D. System output not being checked for inconsistencies
Answer: D
Explanation:
Unchecked AI outputs pose a significant risk because incorrect or biased results may propagate into decision- making processes. The AAIA™ Study Guide stresses that validating AI outputs for consistency, accuracy, and reasonableness is a critical responsibility of both operators and auditors.
"Auditors must verify that appropriate output validation mechanisms are in place. Failure to check outputs increases the likelihood of undetected errors influencing downstream processes or decisions." While cascading failures (C) are a consequence of unchecked outputs, B is the root issue. A and D present logistical and documentation risks but not the highest immediate impact.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Audit Validation of AI Outputs"

NEW QUESTION # 40
An IS auditor is evaluating an organization's data governance controls for its AI system. Which of the following represents the GREATEST risk in this context?
  • A. Inadequate controls over data accuracy and privacy compliance
  • B. Lack of procedures for automated data backup
  • C. Inconsistent data management practices
  • D. Limited frequency of AI system performance and data accuracy reviews
Answer: A
Explanation:
In AI systems,data accuracy and privacyare foundational to both performance and regulatory compliance.
Inadequate controls over data accuracy and privacy compliance(D) pose thegreatest risk, as they can lead to incorrect decisions, legal violations, regulatory penalties, and significant reputational damage. AAIA emphasizes that data governance programs must ensure data is accurate, secure, lawfully processed, and appropriately protected throughout the AI life cycle.
Option A (inconsistent practices) is concerning but is often a symptom of underlying governance weaknesses; its impact is most severe when it affects accuracy and privacy. Option B focuses on backup procedures, which are important for availability and resilience, but not as central to AI decision quality and legal risk. Option C (limited performance and accuracy reviews) is serious but again narrower than outright inadequacy of key controls over accuracy and privacy.
References:
ISACA,AAIA Exam Content Outline- Domain 1: Privacy and Data Governance Programs (accuracy, privacy, and governance controls).
ISACA data governance and privacy guidance for AI systems.

NEW QUESTION # 41
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