
SQL for QA — 100 Queries and Practice Problems
Published by SoftwareTestPilot
PDF • 23 pages • Workbook • Beginner to Advanced • SQL for QA
Published 21 September 2026 • Updated 22 September 2026
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Overview
For each problem, first identify the business rule, the tables involved, the join keys, the expected invariant, and what result would prove a defect. Then write or adapt the query. Sample Practice Schema Table Important columns users id, email, name, status, created_at, last_login_at products id, sku, name, category, price, active orders id, user_id, stat
What you'll learn
- Retrieval, filtering and sorting
- NULLs, duplicates and data quality
- Joins and relationship validation
- Aggregation, metrics and reconciliation
- Subqueries, CTEs and window functions
- API and backend validation with SQL
Topics covered
- sql
- api-testing
Table of contents
- 1. Retrieval, Filtering & Sorting - 12 queries
- 2. NULLs, Duplicates & Data Quality - 12 queries
- 3. Joins & Relationship Validation - 14 queries
- 4. Aggregation, Metrics & Reconciliation - 14 queries
- 5. Dates, Status Flows & Time-Based Checks - 12 queries
- 6. Subqueries & CTEs for QA Investigation - 10 queries
- 7. Window Functions for Advanced QA Checks - 10 queries
- 8. API & Backend Validation with SQL - 8 queries
- 9. Query Troubleshooting & Performance Awareness - 4 queries
- 10. Production-Style QA Investigation Patterns - 4 queries
- Practice Problems - 25 hands-on challenges
- Rapid Revision Sheet - SQL patterns every QA should know
Preview from this resource
How to Use This Workbook
Do not memorize these queries blindly. For each problem, first identify the business rule, the tables involved, the join keys, the expected invariant, and what result would prove a defect. Then write or adapt the
GROUP BY LOWER(email)
HAVING COUNT(*) > 1; QA takeaway: Normalize case if the business treats email as case-insensitive. 15. Find duplicate SKUs QA scenario: Verify SKU uniqueness. SELECT sku, COUNT(*) AS
A short extract taken from the first 6 of 23 pages. The complete notes are in the QA Vault.
Tools covered
- SQL
Skills covered
- SQL for QA
Who this resource is for
- Fresher
- Manual Tester
- Automation Tester
- QA Engineer
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