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ISACA AAIA Exam Syllabus Topics:

Topic
Details

Topic 1

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.

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 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.

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ISACA Advanced in AI Audit Sample Questions (Q24-Q29):

NEW QUESTION # 24
Which of the following AI system characteristics would BEST help an IS auditor evaluate the system's algorithm?

A. The AI system algorithm uses training data to inform decision output.
B. The AI system uses archived transaction data to provide decisions.
C. The AI system provides multiple options for model training.
D. The AI system provides transparent justification of decisions.

Answer: D

NEW QUESTION # 25
An organization is using information gathered from customer accounts to train its AI chatbot. Which of the following is the GREATEST risk associated with this practice?

A. Disclosure of personal information
B. AI model hallucinations
C. AI bias
D. Transparency

Answer: A

NEW QUESTION # 26
Which of the following is the MOST effective way an IS auditor could use generative AI to plan an audit of a new database storing transactional data?

A. Identifying technology-specific risk and considerations
B. Summarizing meeting transcripts from interviews with database administrators (DBAs)
C. Identifying separation of duties conflicts for database data changes
D. Developing architecture diagrams

Answer: A

NEW QUESTION # 27
Which of the following testing techniques would BEST validate whether an organization's data governance program effectively ensures data quality and integrity for AI model training and deployment?

A. Assessing data lineage to verify the traceability of data sources
B. Reviewing the organization's AI software development life cycle documentation
C. Conducting a penetration test to identify vulnerabilities in the model
D. Performing a business impact analysis (BIA) to assess the consequences of AI model failure

Answer: A

NEW QUESTION # 28
Which use case for an AI model to be used by a food delivery service would pose ethical risk to the organization?

A. Correlating time, cost, delivery distance, and customer satisfaction metrics to issue coupons to customers receiving substandard service
B. Basing driver retention and termination decisions on the number of delivered orders per total hours worked as compared to an industry benchmark
C. Using customer service metrics for service speed and food quality to predict customer retention and forecast revenue
D. Comparing total food preparation and delivery time to an industry benchmark to set key performance and risk indicators for individual restaurants

Answer: B

NEW QUESTION # 29
......

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