IIA-CIA-Part3 Exam Dumps | How do data analysis technologies affect internal audit testing?

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Question 149

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Question 149/214

How do data analysis technologies affect internal audit testing?

A. They improve the effectiveness of spot check testing techniques.

B. They allow greater insight into high risk areas.

C. They reduce the overall scope of the audit engagement,

D. They increase the internal auditor's objectivity.

Correct Answer: B

* Understanding Data Analysis in Internal Auditing
* Data analytics enhances audit testing by identifying patterns, anomalies, and high-risk transactions within large datasets.
* Advanced analytics tools (e.g., AI, machine learning, continuous auditing) help auditors pinpoint areas of fraud, compliance violations, or operational inefficiencies.
* Why Option B is Correct?
* Data analysis improves risk assessment by allowing auditors to focus on high-risk areas, such as fraudulent transactions or control weaknesses.
* IIA Standard 1220 - Due Professional Care requires auditors to use technology to improve audit effectiveness, including identifying risks.
* IIA GTAG (Global Technology Audit Guide) 16 - Data Analytics supports using analytics to enhance risk-based auditing.
* Why Other Options Are Incorrect?
* Option A (Improves effectiveness of spot check testing techniques):
* Data analysis enables continuous and full-population testing, rather than just improving spot checks.
* Option C (Reduces the overall scope of the audit engagement):
* Analytics refines audit focus but does not necessarily reduce the scope; it may expand testing capabilities.
* Option D (Increases the auditor's objectivity):
* Objectivity is an ethical requirement rather than a direct effect of data analysis.
* Data analytics enhances internal audit testing by providing deeper insights into high-risk areas.
* IIA Standard 1220 and GTAG 16 emphasize data analytics in risk-based auditing.
Final Justification:IIA References:
* IPPF Standard 1220 - Due Professional Care
* IIA GTAG 16 - Data Analytics in Auditing
* COSO Framework - Data-Driven Risk Management

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