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ISACA Advanced in AI Risk Sample Questions:

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

2. Which of the following poses the GREATEST challenge related to the protection of intellectual property generated by AI solutions?

A) Use of third-party AI service providers that have zero-data retention policies
B) Inherent risk in fundamental AI use cases such as general inquiries or administrative tasks
C) Difficulty in customizing training materials for users on confidential data handling in AI environments
D) Lack of regulatory clarity regarding the copyright status of AI-generated content

3. Which of the following information is MOST important to add to an organizational business continuity plan (BCP) when adopting a customer-facing AI solution?

A) Secure access to alternate resources, multi-region failover, and sufficient load balancing
B) Post-incident audits of AI system recovery times and accuracy metrics
C) Criteria for initiation of automated breach containment measures
D) Centralization of AI system failover mechanisms under a single cloud service provider

4. Which of the following AI capabilities would BEST enable a forecasting system to accurately predict the point at which specific equipment components are likely to fail?

A) Post-defect identification of complex root causes
B) Real-time analysis of sensor monitoring data
C) Recommendation of replacement products
D) Dynamic inventories of spare equipment parts

5. A risk practitioner learns that an AI system used by a manufacturer for quality control (QC) has produced inaccurate responses that could potentially impact user safety. Which of the following is the risk practitioner's BEST recommendation to mitigate this risk?

A) Conduct bias and fairness testing.
B) Augment the model with synthetic data.
C) Implement human-in-the-loop reviews.
D) Provide AI prompt engineering training.

Solutions: