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

Prepare with 240 exam-style questions, detailed explanations, and six full-length tests across the CT-AI syllabus.
Last updated 7/2026
English

What you'll learn

  • Assess their readiness for the ISTQB CT-AI v2.0 examination through six full-length, mixed-syllabus practice tests.
  • Distinguish conventional software behavior from the probabilistic, data-dependent, and non-deterministic behavior of AI-based systems.
  • Evaluate AI-specific quality concerns involving bias, ethics, safety, transparency, explainability, flexibility, autonomy, and system evolution.
  • Analyze machine learning data, model-performance metrics, neural networks, and development activities from a testing perspective.
  • Select appropriate test approaches for input data, trained models, integrated AI systems, generative AI applications, and large language model solutions.
  • Identify weak knowledge areas by reviewing detailed explanations for correct answers and plausible distractors.

Included in This Course

240 questions
  • ISTQB CT-AI v2.0 Practice Test 140 questions
  • ISTQB CT-AI v2.0 Practice Test 240 questions
  • ISTQB CT-AI v2.0 Practice Test 340 questions
  • ISTQB CT-AI v2.0 Practice Test 440 questions
  • ISTQB CT-AI v2.0 Practice Test 540 questions
  • ISTQB CT-AI v2.0 Practice Test 640 questions

Description

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 tests

  • 40 questions per practice test

  • 240 exam-style questions in total

  • Detailed explanations for every answer

  • Explanations showing why incorrect options are not the best answers

  • Balanced coverage across the CT-AI v2.0 syllabus

  • Conceptual, scenario-based, and application-focused questions

  • Mixed-topic simulations rather than isolated domain quizzes

Each 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 Testing

The practice tests address important concepts related to testing AI-based systems, including:

  • Artificial intelligence and machine learning foundations

  • Differences between conventional and AI-based systems

  • Probabilistic and non-deterministic system behavior

  • AI-specific quality characteristics

  • Bias, ethics, safety, transparency, and explainability

  • Acceptance criteria for AI-based systems

  • Machine learning data and data-quality risks

  • Training, validation, and test datasets

  • Classification metrics and model-performance evaluation

  • Neural networks and machine learning development

  • Testing input data, models, and integrated AI systems

  • Test oracles and expected-result challenges

  • Metamorphic, statistical, and experience-based testing approaches

  • Generative AI and large language model considerations

  • Monitoring, change, drift, and ongoing system evaluation

Learn From Every Question

Every question includes a detailed overall explanation. The answer choices also include individual explanations to help you understand:

  • Why the correct answer is appropriate

  • Why plausible distractors are incorrect

  • Which details in the question influence the answer

  • How similar concepts can be distinguished

  • How CT-AI terminology may appear in scenario-based questions

These explanations make the course useful not only for measuring your score but also for reinforcing the reasoning behind each answer.

A Recommended Study Approach

For the strongest results:

  1. Take your first test under timed conditions.

  2. Review every explanation, including questions answered correctly.

  3. Identify the syllabus areas producing the most mistakes.

  4. Revisit those topics in the official syllabus or your training materials.

  5. Complete the remaining tests under increasingly realistic exam conditions.

  6. Retake selected tests after further study and compare your performance.


Disclaimer: ISTQB® is a registered trademark of the International Software Testing Qualifications Board. This course is independently developed for educational and examination-preparation purposes. It is not affiliated with, sponsored by, endorsed by, or approved by ISTQB or any official examination provider. The questions included in this course are original practice questions and are not actual examination questions, recalled examination questions, examination dumps, or reproductions of confidential testing material.

Who this course is for:

  • Learners preparing for the ISTQB CT-AI v2.0 examination.