AAIA-Advanced in AI Audit Practice Exam
Questions and Answers
Which of the following is MOST important to consider when auditing an
organization's AI procedures?
A. Frequency of AI system updates to enhance security
B. Employee training on recognized AI best practices
C. Backup and recovery in the event of an AI data breach
D. AI data validation and filtration to prevent data poisoning - ANSWER-Answer: D
When auditing the transparency of an AI system, which of the following would be
the MOST effective way to understand the model's decision-making process?
A. Evaluating the diversity of the training data set
B. Analyzing the complexity of the algorithms used
C. Assessing the computational cost of the model
D. Reviewing the explainability of AI outputs - ANSWER-Answer: D
An IS auditor is auditing an organization's data governance framework. The primary
objective is to provide assurance that data management practices are standardized
to support a trustworthy AI system.
Which of the following should be the auditor's MOST important consideration?
A. Retention of stored data
B. Portability of data
C. Data practices for training models
D. Accountability for data management - ANSWER-Answer: D
Which of the following is an IS auditor's MOST important course of action when
determining whether source data should be entered into approved generative AI
tools to assist with an audit?
A. Validate that the tool is leveraging the latest model.
B. Validate that the tool provides a privacy notice.
C. Determine whether any AI model hallucinations have occurred.
D. Determine whether the information is reliable. - ANSWER-Answer: D
Which of the following is an IS auditor MOST likely to use in order to ensure an AI
model has the ability to make correct predictions?
A. Adversarial testing
B. Group analysis
C. Latency testing
D. Confusion matrix - ANSWER-Answer: D
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. Ensure the availability of trustworthy data sets.
D. Implement multi-factor authentication (MFA) for all users accessing the AI
Questions and Answers
Which of the following is MOST important to consider when auditing an
organization's AI procedures?
A. Frequency of AI system updates to enhance security
B. Employee training on recognized AI best practices
C. Backup and recovery in the event of an AI data breach
D. AI data validation and filtration to prevent data poisoning - ANSWER-Answer: D
When auditing the transparency of an AI system, which of the following would be
the MOST effective way to understand the model's decision-making process?
A. Evaluating the diversity of the training data set
B. Analyzing the complexity of the algorithms used
C. Assessing the computational cost of the model
D. Reviewing the explainability of AI outputs - ANSWER-Answer: D
An IS auditor is auditing an organization's data governance framework. The primary
objective is to provide assurance that data management practices are standardized
to support a trustworthy AI system.
Which of the following should be the auditor's MOST important consideration?
A. Retention of stored data
B. Portability of data
C. Data practices for training models
D. Accountability for data management - ANSWER-Answer: D
Which of the following is an IS auditor's MOST important course of action when
determining whether source data should be entered into approved generative AI
tools to assist with an audit?
A. Validate that the tool is leveraging the latest model.
B. Validate that the tool provides a privacy notice.
C. Determine whether any AI model hallucinations have occurred.
D. Determine whether the information is reliable. - ANSWER-Answer: D
Which of the following is an IS auditor MOST likely to use in order to ensure an AI
model has the ability to make correct predictions?
A. Adversarial testing
B. Group analysis
C. Latency testing
D. Confusion matrix - ANSWER-Answer: D
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. Ensure the availability of trustworthy data sets.
D. Implement multi-factor authentication (MFA) for all users accessing the AI
