DA0-002 Data Governance Practice Question
Exhibit
SELECT COUNT(*) FROM orders WHERE order_date >= '2023-06-01' AND order_date < '2023-07-01'; Result: 12,345
Refer to the exhibit. An analyst runs a query to count orders in June 2023 and gets 12,345. However, a dashboard shows 12,298 for the same month. What is the most likely cause?
⚠ Common exam trap
CompTIA often tests the concept that time zone conversion can cause subtle count discrepancies in reporting, and the trap here is that candidates assume the dashboard is always correct or that the query must have an error, rather than recognizing that both can be technically correct but apply different time zone interpretations.
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
✓
The dashboard includes time zone conversion
The most likely cause is that the dashboard applies a time zone conversion to the order timestamps, while the analyst's query counts orders based on UTC or a different time zone. If the dashboard converts timestamps to a local time zone (e.g., US/Eastern), orders placed near midnight UTC may fall into a different calendar day or month, causing a discrepancy of 47 orders. This is a common issue when raw data is stored in UTC but reporting tools apply a time zone offset without adjusting the query logic.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
The dashboard includes time zone conversion
Why this is correct
If orders are stored in UTC and the dashboard converts to local time, some orders may fall into a different month.
- ✗
The query has a syntax error
Why it's wrong here
A syntax error would produce an error, not a result of 12,345.
- ✗
The query excludes orders that were canceled
Why it's wrong here
The query counts all orders without a status filter, so canceled orders are included.
- ✗
The dashboard is using a different data source
Why it's wrong here
Using a different data source would likely produce a consistently different count, but the discrepancy is small.
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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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