An AI auditor is documenting a data analytics procedure and wants to ensure that another auditor can replicate the analysis. Which element is most important to include in the documentation?

The names of the audit team members

The exact steps and parameters used

An auditor uses a Python script to perform a complex analysis on a dataset for an AI audit. The script produces a final output that supports a key audit finding. What is the MOST important documentation practice to support this finding?

Creating a PowerPoint presentation summarizing the key findings for the audit committee.

Saving the Python script, the input dataset, and the output file in a secure, version-controlled repository.

Emailing the output file to the audit manager for review.

Verbally explaining the analysis process to the audit team in a meeting.

An audit team is testing the effectiveness of a new access control system. The team wants to identify any instances where a user accessed a file they were not authorized to view. Which data analytics procedure is MOST appropriate for this audit test?

Descriptive analytics, by summarizing the total number of file accesses per user.

Trend analysis, by plotting the total number of file accesses over time to see if it is increasing.

Control testing, by reviewing the configuration of the access control system to ensure it is set up correctly.

Anomaly detection, by comparing user access patterns against their historical behavior to flag unusual activity.

ISACAAdvanced in AI Audit

Domain 3Objective 4

Audit Data Quality and Data Analytics AAIA Practice Questions (Page 1)

Part of the AI Auditing Tools and Techniques domain, which accounts for 21% of the AAIA exam.

37questions here

8free pages

10concepts

21%of the exam

Questions 1–5

1foundation · easy
An AI auditor is documenting a data analytics procedure and wants to ensure that another auditor can replicate the analysis. Which element is most important to include in the documentation?
Select an answer first
2application · medium
An auditor uses a Python script to perform a complex analysis on a dataset for an AI audit. The script produces a final output that supports a key audit finding. What is the MOST important documentation practice to support this finding?
Select an answer first
3application · medium
An audit team is testing the effectiveness of a new access control system. The team wants to identify any instances where a user accessed a file they were not authorized to view. Which data analytics procedure is MOST appropriate for this audit test?
Select an answer first
4foundation · easy
An AI auditor wants to evaluate whether a control that approves purchase orders over a certain amount is operating effectively. Which data analytics procedure is most appropriate?
Select an answer first
5foundation · easy
An AI auditor wants to summarize the key characteristics of a dataset, such as average, minimum, and maximum values, to understand what happened in the data. Which type of data analytics is the auditor using?
Select an answer first

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Audit Data Quality and Data Analytics AAIA Practice Questions (Page 1)

Questions 1–5

An AI auditor is documenting a data analytics procedure and wants to ensure that another auditor can replicate the analysis. Which element is most important to include in the documentation?

An auditor uses a Python script to perform a complex analysis on a dataset for an AI audit. The script produces a final output that supports a key audit finding. What is the MOST important documentation practice to support this finding?

An audit team is testing the effectiveness of a new access control system. The team wants to identify any instances where a user accessed a file they were not authorized to view. Which data analytics procedure is MOST appropriate for this audit test?

An AI auditor wants to evaluate whether a control that approves purchase orders over a certain amount is operating effectively. Which data analytics procedure is most appropriate?

An AI auditor wants to summarize the key characteristics of a dataset, such as average, minimum, and maximum values, to understand what happened in the data. Which type of data analytics is the auditor using?

Keep studying — AI Auditing Tools and Techniques