Free IIA IIA-CIA-Part3 Practice Exam with Questions & Answers | Set: 8

To identify very small control and transaction anomalies, internal auditors should analyze the entire dataset rather than a sample. Full population analysis increases the likelihood of detecting:

Unusual transaction patterns, including fraud, errors, and control weaknesses.

Rare or subtle anomalies that might be missed in sampling-based audits.

Machine-learning-based fraud detection and exception analysis.

A. Analysis of the full population of existing data. (Correct)

This approach ensures complete coverage, reduces sampling risk, and detects rare anomalies.

Modern data analytics tools allow auditors to analyze entire datasets efficiently.

B. Verification of the completeness and integrity of existing data. (Incorrect)

While data integrity checks ensure reliable data, they do not actively identify anomalies or suspicious patterns.

C. Continuous monitoring on a repetitive basis. (Incorrect, but relevant)

Continuous monitoring is useful for ongoing fraud detection, but it does not guarantee full anomaly detection unless it covers all transactions.

Full population analysis is more comprehensive for identifying small anomalies.

D. Analysis of the databases of partners, such as suppliers. (Incorrect)

While analyzing external data sources can uncover vendor fraud, it does not address internal control or transaction anomalies within the organization.

IIA GTAG 3 – Continuous Auditing recommends full population analysis as a best practice for anomaly detection.

IIA Standard 1220 – Due Professional Care requires auditors to use advanced analytical techniques to detect control weaknesses.

COSO Framework – Fraud Risk Management Guide suggests full transaction data analysis for effective fraud detection.

Explanation of Answer Choices:IIA References:Thus, the correct answer is A. Analysis of the full population of existing data.

The best method of compensation to align senior management incentives with the long-term health of the organization is stock options. Stock options encourage executives to focus on sustained growth and profitability rather than short-term gains, ensuring that their interests align with those of shareholders and stakeholders.

Long-Term Value Creation:

Stock options reward executives only if the company’s stock price appreciates over time.

This encourages leadership to focus on long-term profitability, operational efficiency, and sustainability.

Alignment with Shareholder Interests:

If the company performs well, stock prices rise, benefiting both shareholders and executives.

Poor decision-making that harms long-term value results in devalued stock options, discouraging risky short-term strategies.

Retention of Key Executives:

Stock options typically have a vesting period (e.g., 3-5 years), which helps retain top management and ensures commitment to long-term objectives.

Risk Management Considerations:

Unlike cash bonuses or short-term commissions, stock options require executives to consider risks and ethical decision-making over an extended period.

This supports the governance principles outlined by IIA’s International Standards for the Professional Practice of Internal Auditing (IPPF) – Standard 2110 (Governance), which emphasizes aligning incentives with risk tolerance and long-term objectives.

A. Commissions: These are typically tied to short-term sales performance rather than long-term strategic success.

C. Gain-sharing bonuses: These provide short-term financial rewards based on operational performance but do not incentivize sustained value creation.

D. Allowances: Fixed allowances do not fluctuate based on company performance and do not drive long-term strategic focus.

IIA Standard 2110 – Governance: Ensures that management incentives align with the organization's mission and risk tolerance.

IIA Practice Guide: Evaluating Corporate Governance: Emphasizes long-term incentive structures such as stock options to promote sustainable decision-making.

COSO Enterprise Risk Management (ERM) Framework: Highlights how executive compensation should support long-term organizational strategy.

Step-by-Step Justification:Why Not the Other Options?IIA References:

Key Performance Indicators (KPIs) are used to measure and monitor the effectiveness of a process within an organization. In this case, the internal auditor found that 3% of payments did not match submitted invoices, which indicates a potential control weakness in the accounts payable process.

Process Owner’s Tolerance for Performance Deviations (Correct Answer: A)

The most relevant KPI would be one that sets acceptable error limits for invoice payments.

IIA Standard 2120 – Risk Management states that auditors should assess management's risk tolerance and evaluate whether processes are operating within acceptable limits.

If the organization's threshold for errors is 1% and the audit found 3%, it indicates a significant issue requiring corrective action.

This KPI helps the auditor assess materiality and determine the significance of the 3% deviation.

Why the Other Options Are Incorrect:

B. KPI defining the importance of performance levels and disbursement statistics (Incorrect)

While understanding performance levels and disbursement statistics is useful, this KPI does not directly address error tolerance or the impact of deviations.

C. KPI defining timeliness of reporting disbursement errors (Incorrect)

Reporting errors quickly is important, but this KPI does not help in determining whether a 3% error rate is acceptable or excessive.

D. KPI defining operating ratio objectives (Incorrect)

Operating ratio objectives focus on financial efficiency rather than error tolerance or accuracy in invoice processing.

IIA Standard 2120 – Risk Management (Assessing risk tolerance in financial processes)

IIA Standard 2210 – Engagement Objectives (Evaluating process performance against defined thresholds)

IIA Standard 2130 – Compliance (Ensuring adherence to financial control policies)

Step-by-Step Justification:IIA References for This Answer:Thus, the best answer is A. A KPI that defines the process owner's tolerance for performance deviations, as it directly helps the auditor assess the materiality of the 3% error rate in accounts payable.

The high-low method is a technique used in cost accounting to separate variable and fixed costs by analyzing the highest and lowest levels of activity. By computing the difference between the high and low levels of maintenance costs, the clerk determines the variable portion of maintenance costs.

High-Low Method Calculation:

Identify the highest and lowest activity levels and their corresponding costs.

Compute the change in cost (difference between high and low costs).

Compute the change in activity level (difference between high and low activity).

Divide change in cost by change in activity to determine the variable cost per unit.

Variable Costs Identified: The cost that changes with activity level is the variable maintenance cost.

Option A (Fixed maintenance costs): Fixed costs remain unchanged regardless of activity level, but the high-low method focuses on variable costs.

Option C (Mixed maintenance costs): Mixed costs include both fixed and variable components, but the high-low method isolates the variable portion.

Option D (Indirect maintenance costs): Indirect costs refer to overhead expenses, which may or may not be relevant in the high-low method analysis.

IIA’s Business Knowledge for Internal Auditing (CIA Exam Part 3 Syllabus) covers cost accounting concepts, including cost behavior analysis and methods like the high-low approach.

IIA’s Guide on Financial Management & Internal Control supports understanding cost analysis techniques for budgeting and financial planning.

Why Option B is Correct:Why Other Options Are Incorrect:IIA References:Thus, the most appropriate answer is B. Variable maintenance costs.

The net profit margin is calculated as:

Net Profit Margin=Net ProfitTotal Sales×100\text{Net Profit Margin} = \frac{\text{Net Profit}}{\text{Total Sales}} \times 100Net Profit Margin=Total SalesNet Profit​×100

The given data shows:

Gross profit margin (Revenue – Cost of Goods Sold) remained constant at 40% in both years.

Net profit margin declined from 18% in Year 1 to 13% in Year 2.

Since the gross profit margin remained unchanged, the cost of sales did not increase relative to sales. This eliminates Option A as a possible cause.

A decline in net profit margin while gross profit remains the same suggests an increase in operating expenses, interest, or taxes.

If the government increased the corporate tax rate, net income after taxes would be lower, leading to a reduced net profit margin.

The IIA’s GTAG 14 – Auditing Governance, Risk, and Compliance recommends analyzing external factors like tax rate changes when evaluating financial performance.

A. Cost of sales increased relative to sales → Incorrect. If this were true, gross profit margin would have declined, but it remained stable.

B. Total sales increased relative to expenses → Incorrect. If sales increased while expenses stayed constant, net profit margin would have increased, not decreased.

C. The organization had a higher dividend payout rate in year two → Incorrect. Dividends do not affect net profit margin, as they are paid out from net income after it is calculated.

IIA Standard 2120 – Risk Management states that auditors should analyze changes in financial performance due to external economic factors.

COSO ERM Framework highlights tax rate changes as a key risk factor in financial analysis.

IFRS (International Financial Reporting Standards) require companies to disclose changes in tax rates and their impact on profitability.

Why Option D is Correct?Explanation of the Other Options:IIA References & Best Practices:Thus, the correct answer is D. The government increased the corporate tax rate.

Phishing attacks often target financial institutions by impersonating customers and requesting fraudulent fund transfers. The best way to verify such requests is to independently contact the customer using a trusted communication channel, such as the phone number on record.

Verbal confirmation via a trusted number prevents fraudsters from exploiting email spoofing or compromised accounts.

This aligns with industry best practices, including multi-factor verification for high-risk transactions.

A. Reviewing the customer's wire activity to determine whether the request is typical. (Incorrect)

While reviewing transaction history can help detect anomalies, fraudsters can mimic previous transaction patterns, making this method unreliable on its own.

B. Calling the customer at the phone number on record to validate the request. (Correct)

Direct phone verification ensures that the actual account owner is making the request.

This is a widely recommended anti-fraud measure in financial institutions.

C. Replying to the customer via email to validate the sender and request. (Incorrect)

If the email account is compromised, the fraudster will control the response.

Email validation is not secure for financial transactions.

D. Reviewing the customer record to verify whether the customer has authorized wire requests from that email address. (Incorrect)

While this can help identify unregistered emails, attackers often spoof or hack real customer emails.

Email-based verification alone is not sufficient.

IIA GTAG 16 – Security Risk: IT and Cybersecurity recommends multi-factor authentication for high-risk financial transactions.

IIA Standard 2120 – Risk Management highlights the need for robust fraud prevention mechanisms, including direct customer verification.

FFIEC (Federal Financial Institutions Examination Council) Cybersecurity Guidelines emphasize the importance of out-of-band authentication for wire transfers.

Explanation of Answer Choices:IIA References:Thus, the correct answer is B. Calling the customer at the phone number on record to validate the request.

Integrity controls are application controls designed to monitor data being processed to ensure that it remains accurate, consistent, and valid throughout its lifecycle. These controls help detect and prevent data corruption, unauthorized modifications, and inconsistencies in transactional systems.

Integrity controls enforce data validation, consistency checks, and reconciliation procedures to prevent errors during processing.

Examples include checksum validation, referential integrity constraints, and automated reconciliations to ensure data accuracy.

The IIA’s Global Technology Audit Guide (GTAG) 8 – Auditing Application Controls highlights integrity controls as a key measure in maintaining data reliability.

A. Management trail controls → Incorrect. These refer to audit trails and logs that track changes and actions within a system but do not actively monitor or correct data integrity.

B. Output controls → Incorrect. These focus on ensuring final reports, documents, or processed data outputs are accurate but do not monitor data during processing.

D. Input controls → Incorrect. These verify the accuracy and completeness of data at the point of entry, but they do not continuously monitor data throughout processing.

IIA GTAG 8 – Auditing Application Controls recommends integrity controls to maintain data accuracy.

IIA Standard 2120 – Risk Management states that internal auditors should assess data integrity risks in business processes.

ISACA’s COBIT Framework identifies data integrity as a key IT control objective.

Why Option C is Correct?Explanation of the Other Options:IIA References & Best Practices:Thus, the correct answer is C. Integrity controls.

Data analysis in internal auditing allows auditors to assess large volumes of data, identify trends, and uncover anomalies, leading to a more comprehensive understanding of the audit area.

Definition and Role of Data Analysis in Auditing:

Data analytics in internal auditing involves using software and algorithms to analyze vast datasets for fraud detection, risk assessment, and control effectiveness.

The IIA’s GTAG on Continuous Auditing emphasizes that data-driven audits enhance visibility into operations, supporting risk-based auditing.

Why a More Holistic View?

Data analytics allows internal auditors to:

Identify patterns and trends across the entire audit area.

Detect fraud and anomalies more efficiently.

Assess risks across multiple departments simultaneously.

As per IIA Standard 1220 (Due Professional Care), auditors must consider the use of technology-based audit techniques to improve their audit scope.

Why Not Other Options?

A. It easily aligns with existing internal audit competencies to reduce expenses:

While data analytics can reduce costs, its primary benefit is enhanced audit scope and effectiveness, not just cost-cutting.

C. Its outcomes can be easily interpreted into audit conclusions:

Data analytics can enhance audit conclusions, but the interpretation still requires auditor expertise.

D. Its application increases internal auditors' adherence to the Standards:

While data analytics aligns with IIA Standards, it is not the main reason for its adoption.

IIA GTAG – Continuous Auditing: Implications for Assurance & Monitoring

IIA Standard 1220 – Due Professional Care

IIA Standard 2120 – Risk Management

Step-by-Step Justification:IIA References:Thus, the correct and verified answer is B. It provides a more holistic view of the audited area.

The question refers to an internal auditor evaluating IT controls and suggesting an improvement in the process where results are compared against the input. This indicates a focus on verifying the accuracy, completeness, and validity of processed data, which falls under processing controls.

Definition of IT Controls Categories:

Input Controls: Ensure data accuracy before processing but do not compare input to results.

Processing Controls: Ensure that data is processed correctly and that the output matches the expected results.

Output Controls: Verify the accuracy of the final output but do not directly compare results against input.

Integrity Controls: Ensure data integrity across systems but do not specifically focus on input-output validation.

Why Processing Controls?

Processing controls are designed to detect and correct errors during data processing.

According to the IIA’s Global Technology Audit Guide (GTAG) on Information Technology Risks, processing controls ensure data consistency, accuracy, and completeness by validating input data against expected output.

Examples of processing controls include:

Reconciliation controls (comparing input and output).

Validation and verification checks (ensuring correct processing logic).

Why Not Other Options?

A. Output Controls: Focus on final reports and user access, not comparing input with output.

B. Input Controls: Ensure valid data entry but do not verify processing results.

D. Integrity Controls: Protect data consistency but do not specifically involve input-output reconciliation.

IIA GTAG – Information Technology Risks and Controls

IIA Standard 2110 – IT Governance and Risk Management

COBIT 2019 – Control Objectives for Information and Related Technologies

Step-by-Step Justification:IIA References:Thus, the correct and verified answer is C. Processing controls.

A hot site is a fully operational, ready-to-use backup site that allows an organization to quickly resume business operations after a disaster. For an Internet Service Provider (ISP), maintaining continuous operations is critical, and a hot site ensures minimal downtime by providing pre-configured hardware, software, and network connectivity.

A. On-site – Keeping backups and disaster recovery infrastructure on-site is risky because it can be affected by the same disaster that damaged the primary servers.

B. Cold site – A cold site is a backup location that has infrastructure but lacks pre-installed systems and configurations. It takes significant time to become operational, making it unsuitable for an ISP needing quick recovery.

C. Hot site (Correct Answer) – A hot site is fully operational, with replicated data, applications, and network configurations that allow an ISP to quickly switch operations, minimizing service disruption.

D. Warm site – A warm site is partially equipped with some hardware and software but requires configuration before becoming operational. This delays recovery compared to a hot site.

IIA GTAG (Global Technology Audit Guide) 10 – Business Continuity Management emphasizes the importance of hot sites for organizations requiring real-time service restoration.

IIA IPPF Standard 2120 – Risk Management advises organizations to assess disaster recovery plans and ensure continuity strategies align with business needs.

COBIT 2019 – DSS04 (Managed Continuity) discusses different recovery site types and their impact on business continuity.

Explanation of Each Option:IIA References: