DA0-001 Communicating Data Insights Practice Question
This DA0-001 practice question tests your understanding of communicating data insights. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "most likely"
Why it matters: Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Clue confirmation
The clue word "most likely" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
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.
Detailed technical explanation
How to think about this question
Time zone conversion discrepancies often arise when order timestamps are stored as UTC in the database, but the dashboard applies a conversion to a local time zone (e.g., using AT TIME ZONE in SQL or a BI tool setting). For example, an order placed at 2023-06-01 00:15 UTC would be counted in June by a UTC-based query, but if the dashboard converts to US/Eastern (UTC-4), it becomes May 31 20:15, shifting it to May. This can cause a systematic undercount or overcount depending on the direction of conversion and the time of day. The exact difference of 47 orders suggests a specific time window where orders fall into adjacent months after conversion.
KKey Concepts to Remember
Read the scenario before looking for a memorised answer.
Find the constraint that changes the correct option.
Eliminate answers that are true in general but not in this case.
TExam Day Tips
→Watch for words such as best, first, most likely and least administrative effort.
→Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Communicating Data Insights — This question tests Communicating Data Insights — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this DA0-001 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Are there clue words in this question I should notice?
Yes — watch for: "most likely". Probability qualifier — the question wants the most probable cause or outcome, not a guaranteed one. Eliminate low-probability options.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Question Discussion
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