Quick Answer
The correct answer is P001 and P003, as these are the only product IDs whose average quantity exceeds 8 after grouping. This is because the HAVING clause filters grouped data after the GROUP BY operation has aggregated the rows, unlike the WHERE clause which filters individual rows before any grouping occurs. On the CompTIA Data+ DA0-001 exam, this distinction is a frequent test point: you must remember that HAVING works exclusively with aggregate functions like AVG, SUM, or COUNT, while WHERE cannot reference these functions. A common trap is confusing HAVING with WHERE—students often try to use WHERE AVG(quantity) > 8, which will fail because WHERE cannot process aggregated values. To master the SQL HAVING clause, remember the memory tip: “WHERE rows, HAVING groups”—WHERE filters raw records, HAVING filters the summarized results.
This DA0-001 practice question tests your understanding of analyzing and modeling data. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. 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.
Refer to the exhibit. An analyst runs the following query: SELECT product_id, AVG(quantity) FROM sales GROUP BY product_id HAVING AVG(quantity) > 8; Which product_id(s) will be returned?
P001 and P003
P001 average is 9 and P003 average is 12, both >8.
P001 only
Why wrong: P003 also has an average of 12, which is >8.
P002 only
Why wrong: P002 average is 6, which is not >8.
P003 only
Why wrong: P001 also has an average of 9, which is >8.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
P001 and P003
The query groups sales by product_id and filters groups where the average quantity exceeds 8. From the exhibit (not shown but implied), only product_ids P001 and P003 have an AVG(quantity) > 8, so they are returned. The HAVING clause operates on aggregated data after GROUP BY, unlike WHERE which filters rows before aggregation.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
P001 and P003
Why this is correct
P001 average is 9 and P003 average is 12, both >8.
Related concept
Read the scenario before looking for a memorised answer.
P001 only
Why it's wrong here
P003 also has an average of 12, which is >8.
P002 only
Why it's wrong here
P002 average is 6, which is not >8.
P003 only
Why it's wrong here
P001 also has an average of 9, which is >8.
Common exam traps
CompTIA often tests the distinction between WHERE and HAVING, and the trap here is that candidates mistakenly think HAVING filters individual rows or that AVG(quantity) > 8 applies to each row, leading them to select only one product_id instead of recognizing the grouped result.
Detailed technical explanation
The HAVING clause in SQL is evaluated after the GROUP BY and aggregation, allowing filtering on aggregate functions like AVG(), SUM(), or COUNT(). In this query, AVG(quantity) computes the mean per product_id, and only groups with a mean strictly greater than 8 survive. A common real-world scenario is inventory analysis where you want products with above-average sales volume, and HAVING ensures you filter post-aggregation without needing a subquery.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Analyzing and Modeling Data — This question tests Analyzing and Modeling Data — Read the scenario before looking for a memorised answer..
The correct answer is: P001 and P003 — The query groups sales by product_id and filters groups where the average quantity exceeds 8. From the exhibit (not shown but implied), only product_ids P001 and P003 have an AVG(quantity) > 8, so they are returned. The HAVING clause operates on aggregated data after GROUP BY, unlike WHERE which filters rows before aggregation.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
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