ISTQB CT-AI v2.0 Practice Tests: 340 Questions
About this course
Prepare for the ISTQB Certified Tester AI Testing CT-AI v2.0 certification with a focused set of scenario-based practice tests designed for modern AI testing.This course helps you practice how to test AI-based, machine learning, and GenAI-enabled systems through realistic exam-style questions and detailed answer explanations.What this course includes340 practice questions across 6 practice tests.5 deep-dive practice tests covering the major CT-AI v2.0 syllabus areas.1 full-length 40-question mock exam aligned to the official CT-AI v2.0 exam structure.Scenario-based questions designed to test reasoning, not just memorization.Detailed explanations for every question.Clear reasoning on why the correct answer is right and why the other options are weaker.Coverage of both exam concepts and practical AI testing situations.Topics coveredAI-based systems vs conventional systems.Narrow AI, GenAI, machine learning, AI hardware, hosting, and frameworks.AI quality characteristics such as transparency, robustness, safety, user controllability, and intervenability.Machine learning workflow, datasets, training, validation, testing, and evaluation.Neural networks, perceptron basics, and neural network coverage measures.GenAI and LLM testing.Red teaming and exploratory testing.Test oracle challenges in AI systems.Input data testing for bias, labels, representativeness, constraints, and pipeline defects.Model testing for adversarial risks, drift, overfitting, underfitting, and performance issues.Metamorphic testing, A/B testing, and back-to-back testing.ML development and deployment t
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What you'll learn
- Understand the difference between AI-based systems and conventional systems
- Become familiar with machine learning workflows, including datasets and model performance evaluation
- Develop skills for testing GenAI and LLM systems
- Learn to identify and address biases in input data and testing scenarios
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