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SQL Basics: Medium Quiz

Eight medium-difficulty multiple-choice questions covering key SQL concepts, patterns, and consequences for querying and data design.

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Anonymous
Published August 17, 2026

Quiz Questions & Answers

Review every prompt, the correct responses, and helpful context to prep for your own run-through.

Question 1: What is the primary purpose of an SQL PRIMARY KEY constraint?

To automatically back up table data

To enforce referential integrity on other tables

To uniquely identify each row in a table

To speed up text search across columns

Question 2: Which SQL clause filters rows after grouping results with GROUP BY?

WHERE

LIMIT

HAVING

ORDER BY

Question 3: Which JOIN returns only rows present in both tables based on a match condition?

INNER JOIN

FULL OUTER JOIN

LEFT JOIN

CROSS JOIN

Question 4: Why prefer parameterized queries over string concatenation when building SQL statements?

Because parameters compress data on disk

To automatically normalize the database

Because concatenation is slower for small tables

To prevent SQL injection and improve plan reuse

Question 5: Which statement correctly explains a correlated subquery?

A subquery that only returns aggregated values

A subquery that references columns from the outer query for each row

A subquery stored as a view

A subquery that always runs once before the main query

Question 6: When should you use an index on a column?

When you want automatic foreign key enforcement

When the column contains mostly NULL values to save space

When the table has fewer than ten rows

When the column is frequently used in WHERE, JOIN, or ORDER BY operations

Question 7: What is the effect of using SELECT DISTINCT on a query result?

Removes duplicate rows from the result set

Automatically groups results by the first column

Returns only rows with non-null values

Ensures result rows are returned in a stable order

Question 8: Which approach is usually best to calculate running totals efficiently in SQL?

Use window functions like SUM() OVER (ORDER BY ...)

Export to a spreadsheet and compute there

Use nested correlated subqueries for each row

Create many temporary tables for each prefix