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How to Prepare For AAIA ISACA Advanced in AI Audit?
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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 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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| 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.
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ISACA Advanced in AI Audit Sample Questions (Q35-Q40):
NEW QUESTION # 35
An IS auditor is auditing an organization's data governance framework. The primary objective is to provide assurance that data management practices are standardized to support a trustworthy AI system. Which of the following should be the auditor's MOST important consideration?
- A. Accountability for data management
- B. Data practices for training models
- C. Retention of stored data
- D. Portability of data
Answer: A
NEW QUESTION # 36
A digital bank utilizes an AI system to generate credit scores. Which of the following would BEST mitigate the risk of sudden and unexplained changes in a borrower's credit score?
- A. Allowing the AI to operate fully autonomously to prevent processing delays
- B. Ensuring the system is periodically reviewed and calibrated by human experts to maintain stability in predictions
- C. Obtaining and validating the credit scores from third-party agencies to cross-check AI-generated results
- D. Using only data from the last six months to one year to avoid outdated information affecting the credit score
Answer: B
NEW QUESTION # 37
An IS auditor is looking to expedite reporting for an audit with complex issues. Which of the following would be the MOST effective way for the auditor to use generative AI?
- A. Revising audit background and scope information based on new information from management
- B. Developing action items discussed in closing meetings for management action plans
- C. Developing a draft of an executive summary based on detailed findings and audit scope
- D. Revising audit conclusions with precise verbiage to describe the audit observations
Answer: C
NEW QUESTION # 38
The BEST way to prevent sensitive information disclosure by large language model (LLM) chatbots is through:
- A. Data masking
- B. Access controls
- C. Manual monitoring
- D. Data sanitization
Answer: A
NEW QUESTION # 39
Which of the following is MOST important to review in order to gain assurance that an AI model is performing without biases?
- A. AI model adaptability
- B. AI development environment
- C. AI model temperature
- D. AI training data
Answer: D
NEW QUESTION # 40
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