ISTQB CT-AI v2.0—AI Testing Practice Tests | 2026

About this course

Prepare for the ISTQB Certified Tester AI Testing CT-AI v2.0 examination through six complete, mixed-syllabus practice tests designed to strengthen your knowledge, expose weak areas, and improve your confidence before exam day.The course contains:6 full-length practice tests40 questions per practice test240 exam-style questions in totalDetailed explanations for every answerExplanations showing why incorrect options are not the best answersBalanced coverage across the CT-AI v2.0 syllabusConceptual, scenario-based, and application-focused questionsMixed-topic simulations rather than isolated domain quizzesEach practice test is structured as an independent final-exam simulation. Questions from different CT-AI knowledge areas are mixed throughout each test so that you must identify the relevant concept, analyze the scenario, and select the best response without relying on predictable topic grouping.Strengthen Your Understanding of AI TestingThe practice tests address important concepts related to testing AI-based systems, including:Artificial intelligence and machine learning foundationsDifferences between conventional and AI-based systemsProbabilistic and non-deterministic system behaviorAI-specific quality characteristicsBias, ethics, safety, transparency, and explainabilityAcceptance criteria for AI-based systemsMachine learning data and data-quality risksTraining, validation, and test datasetsClassification metrics and model-performance evaluationNeural networks and machine learning developmentTesting input data, models, and integrated AI systemsTest oracles and expected-result challenges</