JOIN is used to combine rows from two or more tables based on related columns. GROUP BY is used to aggregate data by grouping rows with the same values. Together, they allow powerful multi-table data analysis.
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What is the purpose of using GROUP BY with JOIN in SQL?
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Question 2 of 15
2. Question
Which of the following is a valid SQL query with JOIN and GROUP BY?
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Question 3 of 15
3. Question
In what order do the SQL clauses appear in a JOIN with GROUP BY query?
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Question 4 of 15
4. Question
What must be true about columns in the SELECT clause when using GROUP BY?
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Question 5 of 15
5. Question
Which function is commonly used with GROUP BY after JOIN?
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Question 6 of 15
6. Question
What does this query do?
SELECT c.city, COUNT(o.order_id) FROM customers c JOIN orders o ON c.id = o.customer_id GROUP BY c.city;
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Question 7 of 15
7. Question
What is the output of this query?
SELECT dept.name, AVG(emp.salary) FROM emp JOIN dept ON emp.dept_id = dept.id GROUP BY dept.name;
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Question 8 of 15
8. Question
What does GROUP BY do after a JOIN?
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Question 9 of 15
9. Question
Which clause is used to filter after GROUP BY?
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Question 10 of 15
10. Question
Which of the following is true when using JOIN and GROUP BY together?
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Question 11 of 15
11. Question
Can you group by a column from a joined table?
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Question 12 of 15
12. Question
What does this query output?
SELECT c.name, COUNT(*) FROM customers c JOIN orders o ON c.id = o.customer_id GROUP BY c.name HAVING COUNT(*) > 5;
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Question 13 of 15
13. Question
Which clause comes first logically during query execution?
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Question 14 of 15
14. Question
Why might a JOIN with GROUP BY return fewer rows than expected?
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Question 15 of 15
15. Question
What will happen if SELECT includes columns not in GROUP BY or in an aggregate function?
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Summary
Combining `JOIN` with `GROUP BY` allows powerful data analysis across multiple tables. You can aggregate values (such as sums or counts) based on joined data and filter groups using HAVING. It’s a cornerstone concept in SQL for reporting and analytics.
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