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| Certification Vendor: | ISACA |
|---|---|
| Exam Name: | ISACA Advanced in AI Audit (AAIA) Exam |
| Exam Number: | AAIA |
| Related Certifications: | CIA CPA CISA |
| Available Languages: | English |
| Certificate Validity Period: | Not publicly specified (requires ongoing CPE maintenance after certification) |
| Real Exam Qty: | 55 |
| Exam Format: | Remote proctoring or test center, Closed-book, Multiple-choice, Computer-based |
| Passing Score: | 65% |
| Exam Duration: | 120 minutes |
| Exam Price: | USD 459 (member), USD 599 (non-member) |
| Recommended Training: | Official AAIA Training Course Providers ISACA AI Audit Training Resources |
| Exam Registration: | ISACA AAIA Certification Page |
| Sample Questions: | ISACA AAIA Sample Questions |
| Exam Way: | Computer-based exam delivered via PSI test centers or remote proctoring |
| Pre Condition: | Must hold an active CISA, CIA, CPA, or equivalent ISACA-approved advanced auditing certification |
| Official Syllabus URL: | https://www.isaca.org/credentialing/aaia |
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NEW QUESTION # 10
The PRIMARY benefit of using AI in audit fieldwork is that it:
Answer: B
Explanation:
According to the AAIA™ manual, the transformative power of AI in audit fieldwork lies in its ability to process 100% of a data population at scale. While traditional audit methods rely on manual sampling, which may miss infrequent or complex outliers, AI-driven tools can efficiently scan massive, multi-dimensional datasets to pinpoint anomalies and emerging trends that warrant further investigation. This increases the depth of the audit and allows for a more rigorous risk-based approach. While automation of documentation (Option D) and time-saving for managers (Option A) are useful administrative advantages, they are secondary to the analytical capacity to uncover hidden patterns and improve the overall quality of audit fieldwork.
NEW QUESTION # 11
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?
Answer: A
Explanation:
The AAIA™ Study Guide highlights that generative AI tools can significantly enhance audit productivity, especially in content generation tasks. Drafting executive summaries-condensing complex findings into clear, concise formats-is a high-impact use case that benefits from generative AI's natural language generation capabilities.
"Generative AI can be leveraged by auditors to automate reporting sections, such as executive summaries, ensuring consistency and saving time without compromising content clarity." While A, C, and D are valid uses, B delivers the most value by expediting a time-intensive and high-level reporting task in complex audits.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "AI in Audit Processes," Subsection: "Generative AI Applications in Audit Reporting"
NEW QUESTION # 12
A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?
Answer: B
Explanation:
In healthcare AI applications, protecting patient data is critical. The AAIA™ Study Guide identifies anonymization as one of the most effective strategies to preserve privacy and maintain data integrity. When combined with quality checks, it ensures data accuracy and compliance with health data protection regulations (e.g., HIPAA, GDPR).
"Anonymizing sensitive data removes identifying attributes, significantly reducing risk if data is accessed or leaked. Ongoing data quality checks ensure the integrity and utility of the anonymized dataset." While encryption (A) and access controls (C) are necessary technical safeguards, D provides the strongest dual assurance of privacy and accuracy. Option B focuses on model management rather than data security.
Reference: ISACA Advanced in AI Audit™ (AAIA™) Study Guide, Section: "Ethical and Legal Considerations in AI," Subsection: "Privacy and Security of Sensitive AI Data"
NEW QUESTION # 13
Which of the following is the BEST way to mitigate data poisoning in an AI model?
Answer: A
Explanation:
Data poisoning occurs when attackers manipulate training data to corrupt model behavior. The most direct mitigation is to implement robust data validation and integrity checks (option C), including anomaly detection on input distributions, provenance controls, verification of data sources, and safeguards for pipelines feeding the training set. AAIA highlights threats and vulnerabilities specific to AI and the importance of controls that protect data integrity in AI Operations.
NEW QUESTION # 14
An AI social media platform uses an algorithm to increase user engagement that could unintentionally promote divisive content. Which of the following is the BEST course of action to mitigate this risk?
Answer: A
NEW QUESTION # 15
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