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Free PDF ISACA - AAIA - ISACA Advanced in AI Audit–Trustable Reliable Exam Questions

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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.

>> AAIA Reliable Exam Questions <<

2025 AAIA: ISACA Advanced in AI Audit –Efficient Reliable Exam Questions

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ISACA Advanced in AI Audit Sample Questions (Q75-Q80):

NEW QUESTION # 75
When using off-the-shelf AI models, which of the following is the MOST appropriate way for organizations to approach vendor management?

A. Use the vendor only if the contract has been reviewed by the information security department.
B. Ensure a minimum of three quotes have been obtained for market research and comparison.
C. Only use models from vendors with globally recognized accreditation.
D. Establish responsibility and clear terms for model updates and support.

Answer: D

NEW QUESTION # 76
While evaluating a complex machine learning (ML) model used for regulatory compliance in a financial institution, which of the following should the IS auditor do to BEST ensure transparency?

A. Provide periodic model audit reports.
B. Use tools that explain model decisions.
C. Create dashboards to show outputs.
D. Document sources and data processes.

Answer: B

NEW QUESTION # 77
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. Utilizing customer purchase data only after obtaining explicit consent and allowing customers to opt out
B. Sharing customer purchase data with third-party vendors to improve advertising and communication
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: A

NEW QUESTION # 78
An organization is evaluating change management practices for AI-based decision support models. Which of the following BEST demonstrates effective AI-focused change management?

A. Engaging an independent expert to review the model's accuracy and precision on a quarterly basis
B. Documenting model updates and retraining sessions to ensure traceability
C. Assigning a single data science team member to adjust the model in order to establish accountability
D. Deploying two separate copies of the model after each adjustment to compare results

Answer: B

NEW QUESTION # 79
A healthcare organization uses data clustering to group patients by medical history for personalized treatment recommendations. Which of the following is the GREATEST privacy risk associated with this practice?

A. Clusters can reveal sensitive personal information depending on how the information is presented.
B. Clustering increases the complexity of the model, making data harder to anonymize.
C. Irrelevant features in the data may result in inaccurate or biased treatments.
D. The clustering requires more data, increasing the risk of a privacy breach.

Answer: A

NEW QUESTION # 80
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