IIA-CIA-Part3 Exam Dumps : Business Knowledge for Internal Auditing

Understanding Predictive Analytics:

Predictive analytics involves using historical data, statistical algorithms, and machine learning techniques to forecast future trends and behaviors.

It applies assumptions and models patterns to predict outcomes, helping businesses make proactive decisions.

Why Option B is Correct:

Predictive analytics is forward-looking and uses assumptions (e.g., weather conditions) to predict where stock levels would decrease more quickly.

This aligns with the goal of predictive analytics: forecasting potential events before they occur.

Why Other Options Are Incorrect:

A. Analyzed instances where parts were out of stock before scheduled deliveries: This is descriptive analytics, as it looks at past data without making future predictions.

C. Analyzed past stockouts and found a correlation with stormy weather: This is diagnostic analytics, as it identifies past correlations but does not predict future trends.

D. Modeled different scenarios for stock reordering and delivery decisions: This is prescriptive analytics, which focuses on decision-making rather than predictions.

IIA Standards and References:

IIA GTAG on Data Analytics (2017): Highlights predictive analytics as a tool for forecasting risks and operational inefficiencies.

IIA Standard 1220 – Due Professional Care: Encourages auditors to use analytical techniques to anticipate potential issues.

COSO ERM Framework: Supports the use of predictive models to improve risk management and strategic planning.

Thus, the correct answer is B: A supplier of electrical parts analyzed sales, applied assumptions related to weather conditions, and identified locations where stock levels would decrease more quickly.

When reviewing personal data consent and opt-in/opt-out management processes, internal auditors should focus on ensuring compliance with data protection regulations, such as the General Data Protection Regulation (GDPR) and other applicable data privacy laws. The most critical aspect is ensuring that personal data is processed strictly in line with the consent obtained from individuals.

Data Processing in Accordance with Consent (Correct Choice: B)

IIA Standard 2110 – Governance requires internal auditors to assess whether the organization has effective processes for ensuring compliance with laws and regulations, including data privacy obligations.

GDPR Article 5(1)(b) (Purpose Limitation Principle) mandates that personal data must be collected for specified, explicit, and legitimate purposes and must not be further processed in a manner incompatible with those purposes.

Internal auditors should verify that the organization adheres to this principle by ensuring that data is only used for the purpose for which consent was granted.

Why the Other Options Are Incorrect:

Option A: "Whether customers are asked to renew their consent for their data processing at least quarterly." (Incorrect)

GDPR does not mandate a quarterly renewal of consent. Instead, it requires that consent be freely given, specific, informed, and unambiguous. Periodic renewal may be advisable in some cases, but it is not a strict regulatory requirement.

IIA Standard 2120 – Risk Management requires auditors to evaluate compliance risk exposure, but excessive consent renewals could lead to inefficiencies without adding value.

Option C: "Whether the organization has established explicit and entitywide policies on data transfer to third parties." (Incorrect)

While data transfer policies are critical (as required under GDPR Articles 44-50 on international data transfers), they do not directly relate to the opt-in/opt-out process or consent management.

IIA Standard 2201 – Engagement Planning encourages reviewing policies, but the key focus should be on processing data according to the purpose of consent.

Option D: "Whether customers have an opportunity to opt-out the right to be forgotten from organizational records and systems." (Incorrect)

The right to be forgotten (GDPR Article 17) allows individuals to request data deletion, but it is not an opt-out feature in the traditional sense. Organizations must evaluate each request based on legal grounds before erasing data.

IIA Standard 2130 – Compliance requires verifying whether the organization ensures compliance with data privacy rights, but an opt-out for the right to be forgotten is not a primary audit focus.

IIA Standard 2110 – Governance (Ensuring regulatory compliance)

IIA Standard 2120 – Risk Management (Managing data privacy risks)

IIA Standard 2130 – Compliance (Reviewing legal obligations on personal data)

IIA Standard 2201 – Engagement Planning (Evaluating policies and controls)

GDPR Article 5(1)(b) – Purpose Limitation Principle (Processing data as per consent)

GDPR Articles 17, 44-50 (Data protection and right to be forgotten considerations)

Step-by-Step Justification for the Answer:IIA References for This Answer:Thus, Option B is the correct choice as it aligns with the purpose limitation principle and internal audit’s role in assessing compliance with data protection laws.

Comprehensive and Detailed In-Depth Explanation:

Herzberg’s Two-Factor Theory identifies:

Motivators (Intrinsic factors) – Lead to job satisfaction (e.g., responsibility, recognition, growth).

Hygiene factors (Extrinsic factors) – Prevent dissatisfaction but do not create motivation (e.g., salary, work conditions).

Option A (Salary and status) – Hygiene factors that prevent dissatisfaction but do not drive motivation.

Option C (Work conditions and security) – Also hygiene factors, not motivators.

Option D (Peer relationships and personal life) – Affect job satisfaction indirectly, but are not primary motivators.

Since responsibility and advancement directly drive motivation, Option B is correct.