Free Access ISACA.AAIA.v2026-01-20.q29 Practice Test (Page 2)

Question 1

The PRIMARY objective of machine learning (ML) in data processing is to:

A.Draw statistical inferences for creating artificial human intelligence.

B.Perform actions that would typically require human intelligence.

C.Analyze data sets to identify visual patterns and trends.

D.Enhance the explainability of AI model outputs.

Question 2

An IS auditor uses an internally developed generative AI tool to prepare a status update for audit stakeholders. Which of the following is the auditor's MOST appropriate course of action?

A.Regenerate the results to ensure similar outputs are provided.

B.Share and review the results with management.

C.Assess whether the information provided is complete and accurate.

D.Compare results with a publicly available generative AI tool to ensure outputs are similar.

Question 3

Which of the following is the PRIMARY purpose of an AI acceptable use policy?

A.Educating employees on where to find and how to use AI tools

B.Explaining the distinction between different types of AI

C.Establishing guidance on the ethical use of AI

D.Outlining AI usage monitoring procedures

Question 4

Which of the following is the BEST way to support the development and design of high-risk AI systems?

A.Regularly back up the AI system's data to a secure, offsite location.

B.Conduct regular training sessions for users on data privacy.

C.Implement multi-factor authentication (MFA) for all users accessing the AI system.

D.Ensure the availability of trustworthy data sets.

Question 5

An organization is evaluating change management practices for AI-based decision support models. Which of the following BEST demonstrates effective AI-focused change management?

A.Documenting model updates and retraining sessions to ensure traceability

B.Assigning a single data science team member to adjust the model in order to establish accountability

C.Engaging an independent expert to review the model's accuracy and precision on a quarterly basis

D.Deploying two separate copies of the model after each adjustment to compare results

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