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| 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.
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| 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.
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| 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 (Q64-Q69):
NEW QUESTION # 64
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. Create dashboards to show outputs.
- B. Document sources and data processes.
- C. Provide periodic model audit reports.
- D. Use tools that explain model decisions.
Answer: D
NEW QUESTION # 65
Which of the following BEST ensures that an AI system complies with user data ownership rights under privacy regulations?
- A. Applying data clustering techniques to anonymize data sets
- B. Enforcing strict data retention policies to limit storage duration
- C. Regularly conducting AI system performance testing for accuracy
- D. Implementing a transparent data consent management process
Answer: D
NEW QUESTION # 66
A healthcare organization uses patient data to train an AI model for early disease detection. Which of the following practices provides the BEST assurance that personal data is secure and its integrity is maintained?
- A. Encrypting stored data to reduce exposure and log access
- B. Implementing strict data access controls and conducting security tests
- C. Updating the AI model with new data and tracking changes
- D. Anonymizing patient data and performing regular quality checks
Answer: D
NEW QUESTION # 67
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. Percentage of AI models with documented data lineage
- B. Total budget allocated to AI initiatives across all departments
- C. Frequency of data quality audits on the organization's data sets
- D. Number of AI projects completed within the last fiscal year
Answer: A
NEW QUESTION # 68
In the context of an AI implementation, which of the following actions is MOST critical for an organization's change management program?
- A. Conducting a comprehensive risk assessment specific to AI-related changes
- B. Ensuring the organization has a dedicated AI governance committee
- C. Reviewing documentation for AI system changes, updates, and patches
- D. Verifying that all employees have completed mandatory AI ethics training
Answer: A
NEW QUESTION # 69
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