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- Total Questions: 162
- Updated on: Sep 12, 2026
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- Total Questions: 162
- Updated on: Sep 12, 2026
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PDF Practice Q&A's
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- Total Questions: 162
- Updated on: Sep 12, 2026
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Different candidates prepare for ISTQB Certified Tester AI Testing in different ways, and Actual4dump supports PDF study, a desktop test engine, and an online test engine. The CT-AI package gives you 162 practice questions in a format that can match your routine in 2026.
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ISTQB CT-AI Exam Overview:
| Certification Vendor: | ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester - AI Testing Exam |
| Exam Number: | CT-AI |
| Real Exam Qty: | 40 |
| Certificate Validity Period: | Valid indefinitely (no expiration) |
| Exam Duration: | 60 (75 for non-native language) |
| Exam Format: | 1-2 points per question, Multiple-choice questions |
| Exam Price: | €180 - €250 (varies by region and provider) |
| Available Languages: | English, Japanese, French, German, Spanish, Chinese, Portuguese, Korean |
| Passing Score: | 65% (29/44 points for v2.0; 31/47 points for v1.0) |
| Related Certifications: | ISTQB Certified Tester Testing with Generative AI (CT-GenAI) ISTQB Certified Tester Foundation Level (CTFL) |
| Recommended Training: | CT-AI Syllabus v2.0 ISTQB Accredited Training Providers |
| Exam Registration: | Pearson VUE iSQI Exam Registration ISTQB Official Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | Online remote proctored / Onsite test center |
| Pre Condition: | Must hold ISTQB Certified Tester Foundation Level (CTFL) certification |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai/ |
ISTQB CT-AI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Model Testing for Machine Learning Systems | 20% | - Adversarial and robustness testing - Explainability and transparency testing - Model performance and accuracy testing - Drift detection and monitoring - Metamorphic and statistical testing |
| Input Data Testing for Machine Learning Systems | 20% | - Testing for bias, representativeness, and completeness - Data quality attributes - Label verification and ground truth assessment - Validation of data pipelines and preprocessing |
| Test Levels and Machine Learning Systems | 15% | - Test strategies for AI projects - Testing across ML lifecycle stages - Unit, integration, system, and acceptance testing for ML |
| Machine Learning Development Testing | 10% | - Testing MLOps and deployment pipelines - Testing ML development workflows - Regression testing for retrained models |
| Introduction to Testing AI-Based Systems | 10% | - Characteristics of AI and ML systems - Challenges in testing AI-based systems - AI-specific quality characteristics |
| Test Approaches and Techniques for AI Systems | 10% | - Risk-based testing - A/B testing and back-to-back testing - Exploratory testing and red teaming - Test environment and tool considerations |
| Testing Generative AI and Large Language Models | 15% | - Generative AI fundamentals - Evaluation of generative AI outputs - Specific risks and test approaches for LLMs |
ISTQB CT-AI Exam Questions Answered
The CT-AI exam leads to the Certified Tester AI Testing certification from ISTQB. It is positioned at the Specialist level. The exam validates the knowledge and skills expected of candidates preparing for ISTQB Certified Tester AI Testing.
Related certifications include:
- ISTQB Certified Tester Foundation Level (CTFL)
- ISTQB Certified Tester Testing with Generative AI (CT-GenAI)
The CT-AI exam includes 40 questions and allows 60 (75 for non-native language). Before test day, divide the available time by the number of questions in a timed practice set to establish a steady per-question pace. If a difficult item starts consuming too much time, mark it for review and move forward instead of losing momentum. A full timed practice session can help you decide when to move on, when to return, and how much buffer to reserve for a final check.
The passing score for CT-AI is 65% (29/44 points for v2.0; 31/47 points for v1.0), and the official exam fee is €180 - €250 (varies by region and provider). Because a retake requires paying the exam fee again, use timed practice results as a readiness check before scheduling your next attempt. If your performance remains inconsistent, continue reviewing weak domains and repeat a timed session before booking the exam.
Must hold ISTQB Certified Tester Foundation Level (CTFL) certification
Eligibility rules can change, so confirm the current requirements on the official exam page before registering.
You can register through the official channels listed below:
The available exam delivery method is Online remote proctored / Onsite test center.
The official training options include:
After reviewing the recommended training, reinforce what you learned with Actual4dump's 162 practice questions for CT-AI.
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If you purchase the corresponding CT-AI preparation material and do not pass that exam within 60 days of purchase, you may apply for a full refund under the 100% Money Back Guarantee. The request requires a scanned exam enrollment slip and the official Score Report PDF, submitted within two days after the exam. Eligible requests are processed within seven days.
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The current CT-AI outline is organized into 7 top-level domains. The first listed areas include:
- Model Testing for Machine Learning Systems (20%)
- Test Levels and Machine Learning Systems (15%)
- Introduction to Testing AI-Based Systems (10%)
Review the Exam Topics section above for the complete outline and any nested subtopics.
ISTQB Certified Tester AI Testing Sample Questions:
Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION
- A. Feature selection
- B. Data sampling
- C. Data augmentation
- D. Data labeling
Correct Answer: B 🗳️
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Which performance metric is BEST suited to assess the quality of trained models detecting fraudulent credit card transactions?
Choose ONE option (1 out of 4)
- A. Sensitivity
- B. -
- C. F1 value
- D. Accuracy
Correct Answer: C 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
Which ONE of the following would be the LEAST effective input to an AI based test optimization process?
- A. Test environment downtime
- B. Source control data
- C. Previously failing tests
- D. Defect reports
Correct Answer: A 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
Which AI-specific test objective and acceptance criterion should be selected MOST LIKELY for testing GPT_Legal?
Choose ONE option (1 out of 4)
- A. Test objective: Evidence that the data is free from inappropriate bias Acceptance criterion: The DPMA' s analysis data is statistically compared to data from other sources.
- B. Test objective: Evidence of evolution Acceptance criterion: The quality of the research results does not deteriorate with further training.
- C. Test objective: Evidence of compatibility Acceptance criterion: The system can exchange information with the DPMA system and the evaluation system.
- D. Test objective: Evidence of functional safety Acceptance criterion: The system recognizes failures in the transmission of information and data with the DPMA system and the evaluation system by means of self-tests.
Correct Answer: B 🗳️
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A neural network has been designed and created to assist day-traders improve efficiency when buying and selling commodities in a rapidly changing market. Suppose the test team executes a test on the neural network where each neuron is examined. For this network, the shortest path indicates a "buy" and it will only occur when the one-day predicted value of the commodity is greater than the spot price by 0.75%. The neurons are stimulated by entering commodity prices and testers verify that they activate only when the future value exceeds the spot price by at least 0.75%.
Which of the following statements BEST explains the type of coverage being tested on the neural network?
- A. Threshold coverage
- B. Sign-change coverage
- C. Neuron coverage
- D. Value-change coverage
Correct Answer: A 🗳️
Explanation: Only visible for Actual4dump members. You can sign-up / login (it's free).
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