AI in Software Testing: Top 200 Questions

Course Description

Are you a QA professional looking to stay ahead in a world where AI is transforming software testing? This practice test is your complete preparation toolkit for mastering Artificial Intelligence in Quality Assurance.

Spanning 200 carefully crafted multiple-choice questions across 5 focused modules, this course challenges and sharpens your knowledge of the concepts, tools, and strategies driving the next generation of software testing.

This course covers five carefully structured modules, each targeting a critical area of AI in testing.

What you'll be tested on:

• AI & ML fundamentals applied to testing — model bias, explainability, fairness, and evaluation metrics

• AI-powered test automation — self-healing tests, codeless automation, visual regression, and intelligent CI/CD, tools

• Predictive analytics in QA — defect prediction, flaky test detection, anomaly detection, and test prioritization

• Leading AI testing tools — Applitools, Testim, Mabl, Giskard, MLflow, DeepEval, and more

• AI test strategy — governance, responsible AI, MLOps testing, and ROI measurement, designing AI-augmented testing processes

Whether you're a seasoned QA engineer looking to upskill, a test lead exploring AI adoption, or a fresher preparing for your first role, this practice test will sharpen your knowledge and give you the edge you need to succeed.

No data science degree required — just bring your testing mindset !!