An auditor needs to present findings on the performance of a fraud detection model to a non-technical board of directors. The analysis shows that the model's false positive rate has increased by 15% over the last quarter. Which data visualization is MOST effective for communicating this trend to the board?

A line chart showing the false positive rate over the last 12 months, with a clear annotation highlighting the 15% increase.

A detailed table listing the monthly false positive rates for the past year.

A scatter plot showing the relationship between the false positive rate and the number of transactions.

A pie chart showing the proportion of true positives and false positives for the current quarter.

An audit team is reviewing a predictive maintenance model for manufacturing equipment. The team wants to understand not just what failures occurred, but also the root causes of the failures to recommend process improvements. Which data analytics technique is MOST appropriate for this audit objective?

Predictive analytics, to forecast the probability of future equipment failures.

Descriptive analytics, to summarize the total number of failures and their frequency over time.

Diagnostic analytics, to analyze historical failure data and identify patterns and correlations with operating conditions.

Prescriptive analytics, to recommend the optimal maintenance schedule to prevent failures.

An AI auditor is executing a data analytics process and needs to ensure that the original source data is preserved and that all steps are documented for audit trail purposes. Which practice is most important to maintain data integrity?

Using the latest software version

Keeping a copy of the original data

Performing analysis in memory only

ISACAAdvanced in AI Audit

Domain 3Objective 4

Audit Data Quality and Data Analytics AAIA Practice Questions (Page 7)

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 31–35

31foundation · easy
An AI auditor wants to understand the structure, content, and quality of a large dataset before designing audit tests. Which data quality assessment method is most appropriate for this initial exploration?
Select an answer first
32application · medium
An auditor needs to present findings on the performance of a fraud detection model to a non-technical board of directors. The analysis shows that the model's false positive rate has increased by 15% over the last quarter. Which data visualization is MOST effective for communicating this trend to the board?
Select an answer first
33application · medium
An audit team is reviewing a predictive maintenance model for manufacturing equipment. The team wants to understand not just what failures occurred, but also the root causes of the failures to recommend process improvements. Which data analytics technique is MOST appropriate for this audit objective?
Select an answer first
34foundation · easy
An AI auditor discovers that a dataset used for model training lacks critical demographic fields needed for fairness analysis. The auditor decides to add external census data to fill this gap. Which remediation action is the auditor performing?
Select an answer first
35foundation · easy
An AI auditor is executing a data analytics process and needs to ensure that the original source data is preserved and that all steps are documented for audit trail purposes. Which practice is most important to maintain data integrity?
Select an answer first

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Audit Data Quality and Data Analytics AAIA Practice Questions (Page 7)

Questions 31–35

An AI auditor wants to understand the structure, content, and quality of a large dataset before designing audit tests. Which data quality assessment method is most appropriate for this initial exploration?

An AI auditor discovers that a dataset used for model training lacks critical demographic fields needed for fairness analysis. The auditor decides to add external census data to fill this gap. Which remediation action is the auditor performing?

An AI auditor is executing a data analytics process and needs to ensure that the original source data is preserved and that all steps are documented for audit trail purposes. Which practice is most important to maintain data integrity?

Keep studying — AI Auditing Tools and Techniques