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ISACA AAIA Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Audit
Exam Number:	AAIA
Real Exam Qty:	90
Exam Duration:	150 minutes
Related Certifications:	FCCA CPA ACCA CIA CISA
Certificate Validity Period:	3 years
Exam Format:	Computer-based testing, Scenario-based questions, Multiple-choice questions
Passing Score:	450 (scaled, range 200–800)
Exam Price:	US$459 (member) / US$599 (non-member)
Available Languages:	Spanish, Chinese, English
Recommended Training:	AAIA Official Review Course AAIA Review Manual
Exam Registration:	ISACA Official Registration
Sample Questions:	ISACA AAIA Sample Questions
Exam Way:	Computer-based; PSI test centers or remote proctored (remote not available in India, Mainland China, Hong Kong)
Pre Condition:	Hold active CISA, CIA, CPA, ACCA, FCCA or equivalent qualified certification with IT audit/advisory focus
Official Syllabus URL:	https://www.isaca.org/credentialing/aaia/aaia-exam-content-outline

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ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	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 2	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.
Topic 3	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.

ISACA Advanced in AI Audit Sample Questions (Q153-Q158):

NEW QUESTION # 153
An IS auditor is reviewing an AI application that uses customer data to refine the organization's marketing outreach strategies. Which of the following should be the auditor's PRIMARY focus during this review?

A. Compliance with applicable privacy regulations
B. Escalation protocols for sensitive data breaches
C. Access control design and effectiveness
D. Alignment with organizational AI strategies

Answer: A

Explanation:
Since the AI system processes customer data-including potentially personal, sensitive, or behavioral data- the auditor'sprimaryfocus must beprivacy compliance(C). AAIA identifies privacy violations as one of the highest-risk areas for organizations using AI.
The auditor must ensure:
* Data collection follows lawful basis requirements
* Customers gave proper consent (if required)
* Processing adheres to data minimization and purpose limitation
* Storage and retention policies meet regulatory standards
* Data subjects' rights (access, correction, deletion) are protected
* Third-party or cross-border transfers are compliant
Access controls (B) matter but are secondary to ensuring the data is legally collected and processed. AI strategy alignment (A) is governance-related, not risk-critical. Escalation protocols (D) support incident response but come after confirming lawful processing.
References:
AAIA Domain 5: Data Privacy, Lawfulness of Processing
AAIA Domain 1: Privacy and Data Governance Programs

NEW QUESTION # 154
Which of the following is the PRIMARY benefit of implementing a robust data governance framework specific to AI solutions in an organization?

A. It focuses on enhancing the accuracy and reliability of AI model predictions.
B. It accelerates AI implementation timelines by fully automating data preparation processes.
C. It reduces the need for human oversight, ensuring seamless and autonomous data governance.
D. It fosters adherence to industry regulations while minimizing the risk of data breaches and privacy violations.

Answer: D

Explanation:
According to the AAIATM Study Guide, a robust data governance framework ensures that AI systems are compliant with data protection laws, ethical standards, and internal policies. It provides controls over data quality, access, retention, and processing, all of which are essential to avoid breaches and maintain trust.
"A strong data governance structure is foundational for regulatory compliance and ethical AI practices. It ensures that data privacy, integrity, and usage rights are maintained across the AI lifecycle."

NEW QUESTION # 155
During an audit of an investment organization's AI-powered software, an IS auditor identifies a potential security risk. What is the GREATEST risk associated with staff exfiltrating organizational data to a generative AI tool?

A. Unauthorized data disclosure
B. Excessive reliance on AI-generated insights
C. Data contamination due to biased AI model outputs
D. Potential business disruptions

Answer: A

Explanation:
The AAIATM Study Guide stresses that inputting confidential or proprietary data into third-party generative AI tools may result in unauthorized data disclosure. These tools may store, process, or retrain on the input data, leading to privacy and intellectual property risks.
"When employees input sensitive data into external AI tools, organizations risk losing control over that information. This may result in regulatory non-compliance, legal exposure, and irreversible data leakage."

NEW QUESTION # 156
Which of the following is the PRIMARY purpose of an AI acceptable use policy?

A. Outlining AI usage monitoring procedures
B. Explaining the distinction between different types of AI
C. Educating employees on where to find and how to use AI tools
D. Establishing guidance on the ethical use of AI

Answer: D

Explanation:
An AI acceptable use policy (AUP) defines how AI tools and technologies should be ethically and responsibly used within an organization. According to the AAIA™ Study Guide, the primary goal of an AUP is to prevent misuse and promote adherence to ethical, legal, and operational standards.
"An AI acceptable use policy provides governance over how AI tools may be used, especially regarding data handling, fairness, and prohibited uses. It aligns employee actions with organizational values and compliance requirements." Monitoring procedures (B), training (C), and taxonomy explanations (D) may be included in broader AI documentation, but the AUP's core purpose is ethical usage governance.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Policies, Standards, and Ethical Frameworks for AI"

NEW QUESTION # 157
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?

A. Implementing a transparent data consent management process
B. Regularly conducting AI system performance testing for accuracy
C. Applying data clustering techniques to anonymize data sets
D. Enforcing strict data retention policies to limit storage duration

Answer: A

Explanation:
A transparent data consent management process ensures users are informed about how their data will be used, and enables them to exercise their rights to consent, access, rectify, or delete their data. This is a core requirement under regulations such as GDPR and CCPA.
"Consent management is fundamental to respecting data ownership rights. Organizations must clearly disclose data usage purposes, provide opt-in/out capabilities, and maintain audit trails of user interactions." While anonymization and retention policies support compliance, they don't address user control. Performance testing (D) relates to model accuracy, not user rights. Thus, C is the best answer.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Ethical and Legal Considerations in AI," Subsection: "User Data Rights and Consent Management"

NEW QUESTION # 158
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