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Junior QA tester tracing application transactions through related database tables and constraints
SQA, Test Automation & SDET · Course #013

SQL & Database Testing

SQL & Database Testing gives learners a structured route to validate stored data, relational rules, transactions and application-to-database behaviour through targeted SQL checks. The learning begins with database-testing scope before connecting the subject to relational modelling for qa and test-data design and safe environment practices. Participants inspect schemas, design test data, compare UI and API actions with database state, test constraints and CRUD operations, and investigate integrity problems using reproducible queries. Activities emphasise evidence, traceability and sound judgement, so participants can explain why a technique is appropriate instead of following steps mechanically. They produce a small database-testing case study that shows how data evidence can strengthen functional and integration testing.

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Overview

SQL & Database Testing gives learners a structured route to validate stored data, relational rules, transactions and application-to-database behaviour through targeted SQL checks. The learning begins with database-testing scope before connecting the subject to relational modelling for qa and test-data design and safe environment practices. Participants inspect schemas, design test data, compare UI and API actions with database state, test constraints and CRUD operations, and investigate integrity problems using reproducible queries. Activities emphasise evidence, traceability and sound judgement, so participants can explain why a technique is appropriate instead of following steps mechanically. They produce a small database-testing case study that shows how data evidence can strengthen functional and integration testing.

Course Highlights

Schema and relationship validation

CRUD and transaction checks

Constraints and referential integrity

Application-to-database traceability

Data-defect investigation

Modules & Curriculum

Database-testing scope: schema, data and application behaviour

Relational modelling for QA: keys, constraints and cardinality

Test-data design and safe environment practices

CRUD validation with targeted SQL queries

Referential integrity, nulls, defaults and uniqueness

Transactions, commits, rollbacks and concurrency concepts

Stored logic, views and derived-data checks

UI/API-to-database integration scenarios

Data migration and reconciliation foundations

Investigation case: diagnosing an integrity defect

Learning Outcomes

  • Interpret schemas, keys, constraints and relationships for test design.
  • Create SQL checks for CRUD operations and business rules.
  • Validate transaction outcomes, rollback behaviour and data consistency.
  • Detect orphaned, duplicate, null and invalid records.
  • Trace a user or API action to the affected database records.
  • Document database evidence safely and reproducibly.

Ready to Build Your Future-Ready Skills?

Verify data integrity and trace application behaviour beyond the visible interface.

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