ISTQB CT-AI v2.0 Practice Tests: AI Systems Testing

This course contains the use of artificial intelligence.

An AI system can achieve a good aggregate score and still fail a required subgroup, mishandle a transformed input, leak information through retrieved content, or behave differently after deployment. These practice tests help you decide what the evidence actually establishes and which test addresses the remaining risk.

The course targets the ISTQB Certified Tester AI Testing (CT-AI) v2.0 syllabus. Its focus is testing AI-based systems: their input data, models, generated outputs, surrounding applications and deployment behavior.

A structured practice path

• Foundations and AI quality — 50 questions: technology choices, quality characteristics, safety and acceptance criteria.
• ML, metrics and input data — 70 questions: data allocation, preprocessing, confusion matrices, neural coverage, bias, representativeness, constraints and labels.
• Test strategy and GenAI — 50 questions: adaptive behavior, statistical evidence, oracles, generated-output evaluation, controlled red teaming, test levels and risk.
• Model and deployment testing — 50 questions: adversarial and metamorphic testing, drift, fitting, A/B and back-to-back comparisons, development tools and deployment recovery.
• Two mixed mocks — 40 questions each, 60 minutes each: seven-chapter coverage with 36 K2 and four K3 questions in each mock, following the current official exam structure.

Each question includes an answer explanation, feedback on every option and a short study pointer. Scenarios ask you to interpret observations, apply stated constraints, calculate classification metrics and distinguish plausible but insufficient evidence. The questions are original practice material; they are not recalled exam questions.

Use the explanations to improve your decisions

Start with a focused bank in Practice mode, working in sessions of 15–25 questions. Read feedback for wrong and guessed answers, identify the condition you missed, and revisit that syllabus section. Reserve the mixed mocks for a timed check after topic practice. The longer time allowances on focused banks are author-selected study settings.

The official exam uses 40 questions, 44 available points and a 29-point pass requirement. This course uses a 75% equal-weight practice threshold; it is a study target and does not reproduce the official weighted scoring. Results here cannot guarantee an exam pass.

This is a practice-question course. It does not include video lectures or hosted model laboratories. AI assisted the creation of questions, explanations and the cover background. This independently produced course is not affiliated with or endorsed by ISTQB. ISTQB and CT-AI are trademarks of their respective owner.