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Pass Guaranteed 2025 ISACA Valid AAIA: ISACA Advanced in AI Audit Sample Questions Pdf
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ISACA AAIA Exam Syllabus Topics:
Topic
Details
Topic 1
- 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 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 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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Free PDF Quiz 2025 AAIA: ISACA Advanced in AI Audit Accurate Sample Questions Pdf
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ISACA Advanced in AI Audit Sample Questions (Q50-Q55):
NEW QUESTION # 50
Which of the following is the PRIMARY objective of AI governance?
- A. Ensuring controls over AI are designed well and operate effectively
- B. Promoting a positive return on investment (ROI) from AI projects
- C. Implementing compliance and ethics controls for AI initiatives
- D. Defining clear roles and responsibilities for AI development, use, and oversight
Answer: D
NEW QUESTION # 51
When reviewing contracts or other lengthy documentation in the planning phase, which of the following tools would BEST extract relevant information?
- A. Robotic process automation (RPA)
- B. Autoregressive sequencing model
- C. Natural language processing
- D. Predictive analytics
Answer: C
NEW QUESTION # 52
The PRIMARY objective of auditing AI systems is to:
- A. Maximize system efficiency and throughput.
- B. Identify biases and decision transparency.
- C. Minimize algorithm latency and information storage impacts.
- D. Optimize user experience and interface satisfaction.
Answer: B
NEW QUESTION # 53
Which of the following is MOST important to have in place when initially populating data into a data frame for an AI model?
- A. An approved risk assessment for including, excluding, or subsequently dropping data attributes from the model
- B. The code for separating data into training and testing data sets
- C. An analysis of exploratory data that checks for incorrect data types, null values, and duplicate entries
- D. The box charts, histograms, scatterplots, and Venn diagrams that identify correlations and outliers
Answer: C
NEW QUESTION # 54
The PRIMARY purpose of maintaining an audit trail in AI systems is to:
- A. Facilitate transparency and traceability of decisions.
- B. Analyze model accuracy and fairness.
- C. Measure computational efficiency.
- D. Ensure compliance with regulatory standards for AI.
Answer: A
NEW QUESTION # 55
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