ISACA AAIR : ISACA Advanced in AI Risk

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ISACA AAIR Exam Syllabus Topics:

ISACA Advanced in AI Risk Sample Questions:

1. An organization uses multiple external data sources to train its AI models. Which of the following is the risk practitioner's BEST recommendation to protect the organization from data poisoning attacks?

A) Enhanced regularization and training techniques to limit the influence of anomalies
B) Stringent controls over model code and deployment artifacts
C) Continuous monitoring and anomaly detection for data ingestion pipelines
D) Data integrity reviews in response to indications that significant model drift has occurred

2. Which of the following is the BEST governance approach for balancing risk management and operational flexibility across diverse AI applications?

A) Frameworks that can be adapted to business-relevant AI use cases
B) Risk ownership processes that focus on ensuring centralized decision-making
C) External consultants who conduct independent AI governance reviews
D) Control approaches for AI solutions that prioritize compliance on a single regulation

3. Which of the following is the GREATEST risk when an organization relies only on adversarial training to protect a private AI model in a testing environment?

A) Increased likelihood of exposing proprietary algorithms
B) Inefficient model training cycles
C) Presence of unaddressed system vulnerabilities
D) Overfitting to limited datasets

4. An organization deploys an autonomous system that makes decisions affecting compliance with regulations.
If those decisions could potentially produce regulatory breaches, which of the following BEST helps to manage associated liability exposures?

A) Retaining documentation that provides explainability for decisions and embedding controls in oversight processes
B) Creating a separate compliance program for AI obligations and maintaining distinct reporting channels
C) Routing escalations through a single point of contact and prohibiting disclosure of proprietary information
D) Restricting AI deployment to use cases with lower impact and delaying broader operational integration

5. Which of the following AI system considerations BEST mitigates risk associated with model drift?

A) Restricting the use of automated data validation to low-risk models
B) Implementing strong access controls based on roles and responsibilities
C) Conducting regular retraining with new relevant datasets
D) Maintaining existing levels of variance within datasets during preprocessing

Solutions: