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ISACA AAIA Exam Overview:

Certification Vendor:ISACA
Exam Name:ISACA Advanced in AI Audit
Exam Number:AAIA
Available Languages:Spanish, English, Chinese
Exam Price:US$459 (member) / US$599 (non-member)
Related Certifications:FCCA
CPA
ACCA
CISA
CIA
Passing Score:450 (scaled, range 200–800)
Exam Duration:150 minutes
Certificate Validity Period:3 years
Exam Format:Multiple-choice questions, Computer-based testing, Scenario-based questions
Real Exam Qty:90
Recommended Training:AAIA Review Manual
AAIA Official Review Course
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:

TopicDetails
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 (Q243-Q248):

NEW QUESTION # 243
A bank uses a video-based know your customer (KYC) verification process. Cybercriminals exploit this process by using deepfake technology to impersonate bank customers. Which of the following countermeasures is the BEST way for the bank to mitigate this risk?

Answer: B

Explanation:
Liveness detection is the most effective countermeasure against deepfakes in video-based verification. AI- based liveness detection analyzes facial movement, micro-expressions, and other biometric cues to differentiate real humans from manipulated video content.
"To protect against identity spoofing and deepfake exploitation, biometric systems must incorporate liveness detection protocols capable of detecting synthetic imagery or falsified video data." Encryption (C) protects data at rest and in transit but does not prevent impersonation. Discontinuation (D) may not be necessary if effective countermeasures like B are in place.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI Governance and Risk Management," Subsection: "Biometric Security and AI Authentication Methods"


NEW QUESTION # 244
An IS auditor reviewed an AI-enabled software for processing a bank's financial information and discovered errors in the training data. Which of the following would BEST mitigate this risk?

Answer: D

Explanation:
When errors are discovered in training data, the primary risk is that the model has learned from incorrect or low-quality inputs, which can systematically distort outputs (e.g., misstatements of financial information, incorrect classifications, or erroneous flags). Data quality testing directly targets this issue by assessing completeness, accuracy, consistency, validity, and integrity of the data used to train, validate, and test AI models.


NEW QUESTION # 245
The PRIMARY objective of machine learning (ML) in data processing is to:

Answer: D


NEW QUESTION # 246
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?

Answer: B


NEW QUESTION # 247
An organization's AI model relies on synthetic data to augment a small training dataset. What is the PRIMARY audit consideration?

Answer: A

Explanation:
Synthetic data generation methods can inadvertently encode or amplify biases present in the seed data, or fail to capture rare real-world scenarios, undermining model reliability if not properly validated.


NEW QUESTION # 248
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