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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 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 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 (Q59-Q64):

NEW QUESTION # 59
An IS auditor is performing an inventory audit for a manufacturing organization. Which of the following would BEST enable the auditor to identify types of products without assistance from organizational staff?

A. Computer vision
B. Robotic process automation (RPA)
C. Natural language processing
D. Speech modeling

Answer: A

NEW QUESTION # 60
Which of the following do supervised AI learning models PRIMARILY use to train algorithms?

A. Labeled data sets
B. Clustered data sets
C. Unlabeled data sets
D. Randomized data sets

Answer: A

NEW QUESTION # 61
An IS auditor is evaluating an organization's incident management program to ensure it is sufficiently prepared to manage AI-related incidents. Which of the following is MOST important for the auditor to validate?

A. The program mandates retraining AI systems after incidents are investigated.
B. The program prioritizes incidents based on alignment with industry leading practices.
C. The program includes processes to respond to AI model drift and data integrity attacks.
D. The program uses past AI-related incidents and resolutions to categorize current incidents.

Answer: C

NEW QUESTION # 62
When converting data categories before training an AI model, which of the following scenarios represents the GREATEST risk?

A. One-hot encoding the data attribute customer rewards category for the options economy, business, first class
B. Creating dummy variables for the data attribute dog breed for the options labrador, terrier, beagle
C. Creating dummy variables for the data attribute product flavor for the options vanilla, chocolate, strawberry, banana
D. One-hot encoding the data attribute car colors for the options red, blue, green, black, white

Answer: A

NEW QUESTION # 63
Which of the following is the MOST important consideration when auditing the data used for training an AI model?

A. Understandability
B. Predictability
C. Timeliness
D. Representativeness

Answer: D

NEW QUESTION # 64
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