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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

Question 1

Which of the following is the MOST important consideration when determining mitigation controls for an AI system?

A. Providing comprehensive AI risk awareness training to security and technical personnel
B. Evaluating control effectiveness and costs against potential business losses from unmitigated AI risk
C. Determining control performance baselines and reporting requirements for regulatory compliance
D. Prioritizing controls based on the complexity and computational requirements of the AI system

Question 2

Which of the following is the PRIMARY benefit of using AI-based data analytic tools to monitor AI system risk?

A. Forecasting industry-specific AI risk trends and projecting future financial and business risk
B. Early detection of latent vulnerabilities by identifying anomalous patterns within large datasets
C. Comprehensive logging and documentation of unauthorized AI system access attempts
D. Reduction of human involvement through automation of risk analyses and treatment decisions

Question 3

An organization plans to deploy an AI system that ingests multiple sources with varying completeness and accuracy. Which of the following is the risk practitioner's BEST recommendation?

A. Fine-tune model parameters to accommodate variable inputs.
B. Use synthetic data augmentation to supplement training and testing.
C. Perform post-implementation assessments to identify data integrity issues.
D. Implement continuous real-time quality assurance (QA) processes.

Question 4

An election oversight body is considering the use of AI to identify irregularities in voting patterns. Which of the following is the MOST important risk to evaluate?

A. Susceptibility to contextual drift
B. Identification of voter locations
C. Distrust of AI among political interest groups
D. Amplification of biases in historical data

Question 5

Which of the following is the PRIMARY benefit of defining and documenting a RACI matrix for AI solution development and deployment?

A. It facilitates collaboration between operational and technical teams on AI decision making.
B. It strengthens governance over AI technical development activities and enterprise architecture (EA).
C. It consolidates AI governance authority and oversight within senior organization leadership.
D. It establishes responsibility and decision authority for AI project outcomes and risk management.

Solutions: