Which are red flags that may indicate higher-risk non-compliance?

Which are red flags that may indicate higher-risk non-compliance?

• A. Inconsistent records, repeated adjustments, undisclosed related-party transactions, or anomalies in data.
• B. Repeated adjustments, undisclosed related-party transactions, or anomalies in data.
• C. Inconsistent records only.
• D. Anomalies in data only.

Answer: (B)

The main idea here is identifying red flags that strongly signal higher-risk non-compliance. The strongest set of indicators includes repeated adjustments, undisclosed related-party transactions, and anomalies in data. Repeated adjustments show that the accounting or reporting process requires frequent corrections, suggesting ongoing misstatements or control weaknesses. That pattern points to a persistent problem rather than a one-off error. Undisclosed related-party transactions raise risk because transactions with related parties can bypass usual controls or masking improper benefits when not properly disclosed, making it harder to assess true economics and compliance. Anomalies in data indicate unusual or unexpected patterns that don’t fit the expected behavior, data models, or prior trends. Such irregularities are often a sign that something isn’t right and warrants investigation for possible manipulation or non-compliance. Inconsistent records by themselves might reflect poor recordkeeping rather than a direct non-compliance signal, and anomalies alone can arise from data quality issues. When you see multiple strong indicators together, the concern about non-compliance is much higher, which is why this combination is the best answer.

The main idea here is identifying red flags that strongly signal higher-risk non-compliance. The strongest set of indicators includes repeated adjustments, undisclosed related-party transactions, and anomalies in data.

Repeated adjustments show that the accounting or reporting process requires frequent corrections, suggesting ongoing misstatements or control weaknesses. That pattern points to a persistent problem rather than a one-off error.

Undisclosed related-party transactions raise risk because transactions with related parties can bypass usual controls or masking improper benefits when not properly disclosed, making it harder to assess true economics and compliance.

Anomalies in data indicate unusual or unexpected patterns that don’t fit the expected behavior, data models, or prior trends. Such irregularities are often a sign that something isn’t right and warrants investigation for possible manipulation or non-compliance.

Inconsistent records by themselves might reflect poor recordkeeping rather than a direct non-compliance signal, and anomalies alone can arise from data quality issues. When you see multiple strong indicators together, the concern about non-compliance is much higher, which is why this combination is the best answer.