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ISACA AAIA Exam Overview:

Certification Vendor:	ISACA
Exam Name:	ISACA Advanced in AI Audit
Exam Number:	AAIA
Available Languages:	English
Passing Score:	65%
Related Certifications:	CPA FCCA ACCA CIA CISA
Exam Format:	Multiple Choice, Remotely Proctored, Computer-Based
Real Exam Qty:	90
Exam Duration:	120 minutes
Sample Questions:	ISACA AAIA Sample Questions
Exam Way:	Online remotely proctored computer-based exam
Pre Condition:	Candidates must hold an active CISA certification or another qualified audit-related designation such as CIA, CPA, ACCA, FCCA, Canadian CPA, Australian CPA/FCPA, or Japanese CPA.
Official Syllabus URL:	https://www.isaca.org/credentialing/aaia

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ISACA AAIA Exam Syllabus Topics:

Topic	Details
Topic 1	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 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	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 (Q174-Q179):

NEW QUESTION # 174
Which of the following is the GREATEST challenge facing IS auditors evaluating the explainability of generative AI models?

A. Performance issues due to excessive computation
B. Algorithms changing as AI continues to learn
C. Difficulties in preventing the input of biased data
D. Differences of opinion regarding model types

Answer: B

NEW QUESTION # 175
Which of the following metrics are the BEST indication of a mature and effective approach to an organization's data governance program for its AI systems?

A. Total budget allocated to AI initiatives across all departments
B. Frequency of data quality audits on the organization's data sets
C. Percentage of AI models with documented data lineage
D. Number of AI projects completed within the last fiscal year

Answer: C

NEW QUESTION # 176
A retail organization uses an AI model to analyze customers' purchase history in order to offer personalized discounts. Which of the following practices represents the MOST ethical use of customer data?

A. Sharing customer purchase data with third-party vendors to improve advertising and communication
B. Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out
C. Providing the public with access to review and audit the data set of collected customer information
D. Retaining and analyzing all available customer data to ensure unbiased recommendations

Answer: B

Explanation:
The ethical use of customer data is rooted in respecting privacy, maintaining informed consent, and enabling data subjects to exercise control over their personal information. The AAIATM Study Guide clearly outlines that obtaining explicit consent and providing opt-out capabilities align with principles of data protection and ethical AI.
"Ethical AI implementation includes transparency in data collection, clear consent mechanisms, and the right of users to opt out or control their personal data usage. Retail and consumer applications must ensure that personalized services do not override these data subject rights."

NEW QUESTION # 177
What is the MOST significant audit risk when an organization uses a pretrained foundation model fine-tuned on internal data?

A. Increased training time
B. Higher electricity costs
C. Reduced model accuracy
D. Inherited biases or vulnerabilities from the foundation model's original training data, which may be undocumented

Answer: D

Explanation:
Fine-tuning does not eliminate biases or weaknesses baked into the base model; if the foundation model's original training data and behavior are not transparent, inherited risks can persist undetected.

NEW QUESTION # 178
An organization uses an AI image generation platform to create promotional materials. An IS auditor identifies that the platform includes copyrighted images in its training data. Which of the following is the auditor's BEST recommendation to address this issue?

A. Use a platform that certifies the provenance and licensing of its training data.
B. Implement a manual review process to ensure no copyrighted images are used in generated outputs.
C. Label all AI-generated images to disclaim the possibility of third-party content.
D. Suspend the use of the platform until the training data is sanitized.

Answer: A

Explanation:
Ensuring that AI tools are trained on properly licensed and documented data sets is critical to avoiding copyright infringement and legal exposure. The AAIATM Study Guide emphasizes using platforms with certified and traceable training data to meet ethical and legal standards.
"Organizations must verify the provenance and licensing of data used to train AI systems.
Platforms that certify data sources reduce the risk of using protected intellectual property without consent."

NEW QUESTION # 179
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