Are you preparing for the ISTQB Certified Tester – AI Testing (CT-AI) certification and want to assess your readiness with realistic, high-quality exam-style practice questions? This comprehensive practice exam course has been designed to mirror the real CT-AI certification exam as closely as possible.

With 6 full-length practice tests containing 240 questions in total, you will gain the confidence and knowledge required to pass the ISTQB CT-AI certification on your very first attempt. Each question is carefully written to match the difficulty, structure, and exam-style wording you will face on test day.

Every question comes with detailed explanations for both correct and incorrect answers, ensuring that you not only know the right answer but also understand why the other options are wrong. This unique approach deepens your understanding and prepares you for any variation of the question that may appear in the real exam.

Our ISTQB CT-AI practice exams will help you identify your strong areas and pinpoint where you need improvement. By completing these tests under timed conditions, you will build the exam discipline and confidence required to succeed.

This course is updated regularly to ensure alignment with the latest ISTQB CT-AI syllabus.

This CT-AI practice test course includes:

• 240 exam-style questions across 6 timed practice exams (40 questions each).

• Detailed explanations for both correct and incorrect options.

• Realistic exam simulation with scoring and timing.

• Updated syllabus coverage aligned with ISTQB CT-AI v2025.

• Performance reports to identify strengths and weaknesses.

• Free coupon access to the complete practice exam for a limited time.

With this course, you’ll not only practice but also master AI testing concepts such as AI fundamentals, testing AI-based systems, quality challenges in AI, and ethical considerations in AI testing.

Exam Details – ISTQB CT-AI Certification:

• Exam Body: ISTQB (International Software Testing Qualifications Board)

• Exam Name: ISTQB Certified Tester – AI Testing (CT-AI)

• Exam Format: Multiple Choice Questions (MCQs)

• Certification Validity: Lifetime (no expiration; certification does not require renewal)

• Number of Questions: 40 questions in the real exam

• Exam Duration: 60 minutes (75 minutes for non-native English speakers)

• Passing Score: 65% (26 out of 40 correct answers)

• Question Weightage: Each question typically carries 1 point

• Difficulty Level: Foundation-to-Intermediate (focus on applying AI testing principles)

• Language: English (in most regions, localized versions may be available)

• Exam Availability: Online proctored exam or in test centers (depending on region)

FREE SUBSCRIPTION COUPON

• Subscription Coupon: E5EAAA4A81E34B165A9D

• Price: $0.00 (Free)

• Validity: 31 days

• Starts: 10/08/2025 12:00 AM PDT (GMT -7)

• Expires: 11/07/2025 11:00 AM PDT (GMT -8)

Detailed Syllabus and Topic Weightage:

The ISTQB CT-AI exam is structured around several major syllabus areas. Below is a detailed breakdown along with the approximate number of questions you can expect from each topic:

1. Introduction to AI (5–7 questions)

   • Basic AI and Machine Learning concepts

   • Differences between traditional software and AI-based systems

   • AI terminologies and ecosystem

2. Quality Characteristics for AI-Based Systems (5–6 questions)

   • Test oracles in AI

   • Bias, transparency, explainability, robustness

   • Data quality considerations

3. AI System Lifecycle and Development Approaches (6–8 questions)

   • Training data and model validation

   • AI system evolution

   • Agile and DevOps in AI projects

4. AI-Specific Test Approaches and Techniques (8–10 questions)

   • Supervised vs unsupervised learning test strategies

   • Black-box vs white-box AI testing

   • Testing for non-determinism

   • Test automation strategies

5. Tools and Infrastructure for AI Testing (5–6 questions)

   • AI-enabled test tools

   • Data pipeline testing

   • Continuous monitoring in AI systems

6. Ethical and Regulatory Aspects of AI Testing (3–4 questions)

   • Compliance requirements

   • Bias and fairness checks

   • Privacy and security in AI models

Practice Test Structure:

• 6 Full-Length Tests

  • Each test contains 40 exam-style questions

  • Includes questions from all CT-AI syllabus domains

• Detailed Feedback and Explanations

  • Every question includes a one-liner explanation for correct and incorrect answers

  • Helps reinforce learning and prevent repeated mistakes

• Randomized Order

  • Each time you attempt a test, questions and answer choices are randomized.

  • Prevents memorization and ensures real exam readiness

• Progress Tracking

  • After completing a test, you will see your score, pass/fail status, and areas that need focus

Sample Practice Questions:

Question 1:
A test team is using a tool that compares the outputs of two versions of an AI model to a known good output from a separate, deterministic system. What is this a form of?

Options:
A. A/B testing
B. Back-to-back testing
C. Regression testing
D. Exploratory testing

Answer: B. Back-to-back testing

Explanation of each option:

• A. A/B testing: A/B testing compares two versions to live users, not to a deterministic reference system.

• B. Back-to-back testing: Correct. Back-to-back testing compares the outputs of a system under test to a separate reference system (the known good output) using the same inputs to find discrepancies. This helps in cases where a true test oracle is difficult to create.

• C. Regression testing: Regression testing ensures new changes don’t break existing functionality. The described test is a comparison technique, not a regression check.

• D. Exploratory testing: Exploratory testing is a simultaneous process of learning, test design, and test execution. The described test is a formal, planned comparison.

Question 2:
An AI-powered fraud detection system occasionally flags legitimate transactions as fraudulent, causing customer dissatisfaction. The testing team needs to systematically evaluate and reduce these false positive rates while maintaining detection effectiveness. Which testing strategy would be most appropriate?

Options:
A. Precision and recall testing
B. Boundary value analysis
C. Smoke testing
D. Configuration testing

Answer:  A. Precision and recall testing

Explanation of each option:

• A. Precision and recall testing: Precision and recall testing specifically addresses the balance between false positives and false negatives in classification systems. Precision measures the proportion of predicted fraud cases that are actually fraudulent, directly addressing false positive rates. Recall measures the proportion of actual fraud cases correctly identified. This approach systematically evaluates and optimizes the trade-off between customer inconvenience and fraud detection effectiveness.

• B. Boundary value analysis: Boundary value analysis tests system behavior at input domain boundaries, focusing on edge cases and limit values. While useful for input validation, it does not specifically address the precision-recall trade-off or systematic evaluation of false positive and false negative rates in classification systems.

• C. Smoke testing: Smoke testing involves basic functionality verification to ensure the system works at a fundamental level. While important for initial validation, it does not provide the detailed analysis needed to optimize classification thresholds or systematically reduce false positive rates.

• D. Configuration testing: Configuration testing verifies system behavior across different setup configurations and environments. While important for deployment validation, it does not address the algorithmic performance tuning needed to optimize fraud detection accuracy and reduce false positive rates.

Preparation Strategy & Guidance:

1. Understand the Exam Blueprint: Study the official ISTQB CT-AI syllabus thoroughly and focus on high-weightage topics.

2. Practice Under Exam Conditions: Use the 6 practice tests to simulate exam timing and environment.

3. Review Mistakes Carefully: Analyse incorrect answers to understand knowledge gaps.

4. Focus on Non-Deterministic Behaviour: Spend extra time on AI testing challenges like bias, explainability, and data-driven testing.

5. Target 80%+ in Practice Exams: While 65% is the pass mark, consistently scoring above 80% in practice will ensure success in the real exam.

6. Continuous Revision: Reattempt practice tests until you are confident across all syllabus areas.

Why This Course is Valuable:

• Real Exam Simulation: Each practice test is timed and scored to mirror the real CT-AI exam environment.

• In-Depth Explanations: Every answer option (both correct and incorrect) is explained in one-liner clarity, building conceptual depth.

• Coverage of Entire Syllabus: The 240 questions span across all CT-AI exam domains, ensuring full coverage.

• Regular Updates: Updated consistently based on exam feedback and syllabus changes.

• Skill Reinforcement: Helps test-takers internalise AI testing concepts, not just memorise them.

• Confidence Building: By the end of the course, learners will feel fully prepared for test day.

Top Reasons Why These Practice Exams are the Key to Acing Your CT-AI Exam:

• 6 Complete Sets of Practice Exams: Covering 240 original, high-quality questions

• 100% Aligned with the CT-AI Syllabus:Structured to reflect real exam difficulty and topics

• Simulates Actual Certification Exam: Time-limited, scored exams just like the real ISTQB CT-AI exam

• Detailed Explanations: Every option is explained for maximum learning impact

• Regularly Updated: Always aligned with the latest syllabus changes and exam patterns

• Premium-Quality Content: Free of errors and written by experts in AI testing

• Randomized Question Bank: Ensures genuine preparation instead of memorization

• Best Value for Money: Lifetime access to all practice exams and updates

• Mobile Access: Study anytime, anywhere

• Track Your Progress: Get test reports to focus your preparation on weak areas.

Money-Back Guarantee:

This course comes with a 30-day unconditional money-back guarantee. If you feel that the practice tests do not meet your expectations or help you prepare for the ISTQB CT-AI exam, you can request a full refund—no questions asked.

Who This Course is For:

• Testers preparing for the ISTQB Certified Tester – AI (CT-AI) certification exam

• QA professionals looking to expand into AI and machine learning system testing

• Software testers aiming to validate their AI knowledge with a globally recognized certification

• Students and professionals who want to practice exam-style questions and measure their readiness

• Test managers and leads who want to understand AI testing concepts to guide their teams

• Anyone seeking to improve their AI testing career prospects with a prestigious certification.

Для кого этот курс:

• Software testers and QA professionals seeking to specialize in AI testing.
• Developers and IT professionals aiming to enhance their AI testing skills.
• AI enthusiasts and practitioners preparing for the ISTQB AI Certification Exam.
• Anyone interested in advancing their career in the field of AI testing.
• Test automation engineers looking to learn AI model validation and data testing.
• Developers and IT professionals aiming to master AI testing frameworks.
• AI and ML enthusiasts preparing for the ISTQB CT-AI Certification Exam.
• Career changers and professionals entering the fast-growing AI QA domain.
• Anyone passionate about AI testing and ready to level up with hands-on experience.
• QA leads and managers bringing AI-driven automation into testing strategies.