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100% Pass 2025 AAIA: Efficient Certification ISACA Advanced in AI Audit Exam Dumps
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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
- 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
- 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.
ISACA Advanced in AI Audit Sample Questions (Q18-Q23):
NEW QUESTION # 18
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. Transparency
- C. AI bias
- D. AI model hallucinations
Answer: A
NEW QUESTION # 19
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. The clustering requires more data, increasing the risk of a privacy breach.
- 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. Clusters can reveal sensitive personal information depending on how the information is presented.
Answer: D
NEW QUESTION # 20
Which of the following is the MOST important task when gathering data during the AI system development process?
- A. Stratifying the data
- B. Isolating the system
- C. Cleaning the data
- D. Training the system
Answer: C
NEW QUESTION # 21
A generative AI system has a validation control in place to reject inappropriate questions by checking them against built-in ethical standards. Which of the following enables malicious actors to circumvent this control through prompt engineering?
- A. Submitting the same questions in a foreign language translated by another AI-based system
- B. Presenting theoretical situations to justify the reason for asking the questions
- C. Randomly placing keywords unrelated to the main topic
- D. Asking the same questions later when the algorithm has changed after further learning
Answer: B
NEW QUESTION # 22
An organization shares an AI model with external partners. One partner reports that sensitive data has been inadvertently exposed through the model's outputs. Which of the following is the IS auditor's BEST recommendation?
- A. Retrain the model immediately and implement privacy-preserving techniques.
- B. Limit the model's outputs to anonymized results while investigating further.
- C. Disable the shared model and notify partners of the potential breach.
- D. Audit the data pipelines of all partners to identify the source of the leak.
Answer: C
NEW QUESTION # 23
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