Pragmatic test practice software

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Pay high attention to the user experiences

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Free update within one year

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

2. 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

3. An organization is integrating AI systems into core business operations and has decided to establish a formal process to align AI initiatives with corporate values. Which of the following is the GREATEST benefit of this decision?

A) Executive support for technical training and upskilling related to AI can be more effectively obtained.
B) Return on investment (ROI) for new AI services can be evaluated more accurately.
C) The transparency and explainability of AI model decisions is enhanced for all stakeholder groups.
D) Ethical principles can be added to AI development and usage after deployment.

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

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

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

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

Solutions: