Section 4 Review
You've finished Performance and Security, the fourth section of Database Testing. This page is a dedicated recap — bookmark it as a fast reference, separate from the modules themselves.
Section Summary
✔ Database Performance Testing — recognizing a slow-query symptom by testing at realistic data volume, index awareness at a QA level, and spotting the N+1 query pattern via observable query counts ✔ Database Security Testing — least-privilege verification at the data layer, SQL injection symptom recognition with legitimate special-character input, and direct checks for sensitive data at rest — all identification and reporting, not exploit construction ✔ Backup, Recovery, and Audit Validation — why a backup job's "success" status isn't evidence of restorability, what recovery correctness actually requires, and extending trigger-coverage testing to compliance-relevant audit trails
How they build on each other: Module 10 established that realistic scale, not just correctness, is a testable dimension. Module 11 extended QA-level verification into security, using the same "verify directly, don't trust documentation" discipline this path has used since Section 2. Module 12 closed the section by combining both threads — data completeness under realistic operational conditions (a real restore) and trigger-coverage testing (Module 7) applied specifically to compliance stakes.
Performance and Security Quick Reference
| Question | What to Check |
|---|---|
| Is this feature's performance actually acceptable? | Response time compared at small vs. realistic data volume |
| Does this page run more queries than it should? | Query count at different result-set sizes (N+1 detection) |
| Does this credential have more access than it needs? | Granted privileges compared against documented need |
| Is this input field vulnerable to injection? | A legitimate value containing special characters (e.g., an apostrophe) |
| Is this backup actually restorable? | An actual restore into an isolated environment, verified directly |
Section 4 Knowledge Check
Five realistic scenarios. For each, decide which module's framework applies, and what you'd check first. No answers are provided here. Solutions: Section 4 Solutions.
Scenario 1: A dashboard page that lists a customer's 25 loan documents seems to run one query per document.
Scenario 2: A read-only reporting tool's database credential should never need write access to any table.
Scenario 3: A "customer notes" text field, when tested with a legitimate name like D'Souza, returns a database error.
Scenario 4: A backup job has shown a green "success" status every night for six months.
Scenario 5: A feature loads instantly for every test account, all of which have fewer than 20 transactions.
Continue to Section 5
Application Modules & Capstone, starting with AtlasBank Database Validation — where this entire path's toolkit is applied together against realistic, full-scale scenarios, closing with a capstone that traces the same compliance defect three other learning paths have already found, this time from the data layer itself.