Question 239 of 986
DA0-002 Data Acquisition and Preparation Practice Question
A data analyst is pulling data from a production database for a report. The database contains customer orders with a column 'order_date'. The analyst notices that some orders have dates in the future. Which data quality issue does this represent?
⚠ Common exam trap
Many exam-takers confuse 'invalid data type' (Option A) with 'invalid data value' — the data is of the correct type but violates a logical business rule, which is a distinct quality issue often tested in DA0-001.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Violation of business rules
Future order dates violate a business rule that order_date must be in the past or present. This is a classic data integrity issue where the data does not conform to domain-specific constraints, such as 'order_date <= CURRENT_DATE'. The analyst should flag this as a violation of business rules, not a data type or consistency problem.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Invalid data type
Why it's wrong here
The data type is likely date; the issue is with the value itself.
- ✗
Inconsistent data
Why it's wrong here
Inconsistency would be different formats or values across sources, not a single column with implausible values.
- ✗
Missing data
Why it's wrong here
Missing data would be null values, not future dates.
- ✓
Violation of business rules
Why this is correct
Future orders are not valid per business rules, indicating a data quality issue.
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Last reviewed: Jun 11, 2026
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