Free IIA IIA-CIA-Part3 Practice Exam with Questions & Answers | Set: 5

When an internal auditor calculates the mean (average), median (middle value), and range (difference between highest and lowest values) of a data population, the primary purpose is to assess the distribution of data and detect anomalies. Let’s analyze the answer choices:

Option A: To inform the classification of the data population.

Incorrect. Classification typically involves categorizing data into specific groups, which requires different statistical or analytical techniques like clustering or decision trees. Mean, median, and range are more useful for identifying distribution patterns.

Option B: To determine the completeness and accuracy of the data.

Incorrect. While summary statistics can highlight extreme values, completeness and accuracy are usually assessed through data reconciliation, validation checks, and comparison with source records.

Option C: To identify whether the population contains outliers.

Correct.

The range (difference between the largest and smallest values) helps to detect extreme values.

The mean and median can show whether the data is symmetrical or skewed (which may indicate outliers).

If the mean is significantly different from the median, it suggests potential outliers pulling the average in one direction.

IIA Reference: Internal auditors use data analytics to detect anomalies and potential fraud by identifying outliers. (IIA GTAG: Auditing with Data Analytics)

Option D: To determine whether duplicates in the data inflate the range.

Incorrect. Duplicates may affect the data set, but range calculations alone do not determine whether duplicates exist. Duplicate identification usually involves checking for repeated entries, not just extreme values.

Comprehensive and Detailed In-Depth Explanation:

Big data is commonly characterized by the "Three Vs":

Volume: The vast amount of data generated and collected.

Velocity: The speed at which new data is generated and the pace at which data moves.

Variety: The diverse types and sources of data, including structured, semi-structured, and unstructured formats.

These characteristics highlight the challenges and considerations in managing and analyzing big data. Options A, C, and D list attributes that, while relevant in certain contexts, do not encapsulate the core defining features of big data as effectively as option B.

Comprehensive and Detailed In-Depth Explanation:

A Project Management Information System (PMIS) is a centralized tool used throughout a project's planning, execution, and monitoring phases. It helps track schedules, costs, and risks.

Option A (EVM) – Used primarily in monitoring and control phases, not all three.

Option B (Organizational procedures) – Provides guidance but is not actively used in all project phases.

Option C (Performance measurement) – Important in monitoring, but not central to planning or execution.

Since PMIS is used throughout the project lifecycle, Option D is correct.

Comprehensive and Detailed In-Depth Explanation:

Smart devices often incorporate advanced security features that enhance secure authentication mechanisms. These features may include biometric sensors (such as fingerprint readers or facial recognition), hardware tokens, and secure enclaves that store authentication credentials. By utilizing these technologies, smart devices provide robust methods to verify user identities, thereby strengthening access controls to sensitive information and systems. While smart devices do offer portability (option C), their primary contribution to security lies in enhancing authentication processes. Version control (option A) pertains to managing changes in software or documents and is not directly impacted by smart devices. Privacy (option B) can be influenced by smart devices, but the direct improvement is in secure authentication, which in turn can support privacy protections.