Exam Name: Certified Tester AI Testing Exam
Certification Provider: ISTQB
Corresponding Certification: ISTQB AI Testing
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- Total Questions: 162
- Updated on: Nov 02, 2026
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- Total Questions: 162
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CT-AI PDF Practice Q&A's
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- Total Questions: 162
- Updated on: Nov 02, 2026
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Updated: Nov 02, 2026
No. of Questions: 162 Questions & Answers with Testing Engine
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ISTQB CT-AI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Test Methods and Techniques | 20% | - Adversarial Testing - Black-Box Testing for AI Systems - Test Oracle Techniques for AI - Metamorphic Testing |
| Topic 2: Testing AI-Based Systems | 20% | - Test Levels for AI-Based Systems - Testing AI-Specific Quality Characteristics - Bias and Fairness Considerations - Challenges in Testing AI-Based Systems |
| Topic 3: Practical Considerations | 12% | - Documentation and Reporting - Automation in AI Testing - Test Environment Setup for AI - Test Data Quality and Preparation |
| Topic 4: Neural Networks and Deep Learning | 20% | - Model Training and Evaluation Metrics - Testing Deep Learning Models - Overfitting and Underfitting - Neural Network Architecture Basics |
| Topic 5: Basics of AI | 8% | - Definitions and Terminology - Data Concepts (Training, Validation, Test Data) - Machine Learning Types (Supervised, Unsupervised, Reinforcement) - AI Types and Techniques |
| Topic 6: Testing AI-Specific Quality Characteristics | 20% | - Robustness Testing - Explainability and Interpretability - Fairness and Bias Detection - Accuracy, Precision, Recall, F1-Score |
CT-AI Exam: Your Questions, Our Promises
ISTQB Certified Tester AI Testing is an official ISTQB exam, registered under the code CT-AI. Passing it earns the ISTQB AI Testing certification at the Foundation level. It also connects to ISTQB CTFL, ISTQB CTAL-TTA. In a fast-developed industry, this certificate is a promise to your career and your next promotion.
ISTQB CTFL (Certified Tester Foundation Level) certification is recommended but not mandatory
Vendor policies do evolve, so confirm the current conditions before you register on the official exam page.
The ISTQB Certified Tester AI Testing exam contains 40 questions within 60 minutes. Former customers share a consistent secret: two or three regular hours of daily practice beat sporadic cramming. The TestKingsIT engine covers every important test point, so a steady routine builds both knowledge and the pacing the clock demands.
Passing ISTQB Certified Tester AI Testing requires 65%, and the official fee is EUR 250. Retakes bill the full EUR 250 again, so treat readiness as something to verify, not assume: when your TestKingsIT practice scores clear the requirement day after day, you are ready to book.
ISTQB Certified Tester AI Testing is divided into 6 official domains, led by Basics of AI (8%), Practical Considerations (12%), and AI Test Methods and Techniques (20%). The full outline is above; while details shift over time, the main test points stay steady, and we have already sorted them for you.
Yes and yes. If you are a little suspicious, download the free demo of the ISTQB Certified Tester AI Testing questions and check the material before deciding. After purchase, updates are free for 365 days, with new versions sent to you as soon as test points change; after expiry, extending the update service costs 50% of the regular price.
We promise it in writing: a 100% money-back guarantee under defined conditions. Take the ISTQB Certified Tester AI Testing exam within 60 days of purchase; if you fail, claim a full refund according to your transcript by submitting a scanned enrollment slip and the official Score Report PDF within 2 days of the exam, processed within 7 days. The exam must match your product, candidate and payer names must match, and attempts within 3 days of purchase, unused downloads, free materials, and expired orders are excluded. Alternatively, switch freely to other exam material: two equivalent products, free, with updates retained on your original purchase.
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ISTQB Certified Tester AI Testing Sample Questions:
A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required, thus reducing the time needed for each testing cycle.
How can an AI-based tool be expected to assist in this reduction?
- A. By using A/B testing to compare the last update with the newest change and compare metrics between the two
- B. By performing Bayesian analysis to estimate the types of human interactions that are expected to be seen in the system and then selecting those test cases
- C. By using a clustering method to quantify the relationships between test cases and then assigning each test case to a category
- D. By performing optimization of the data from past iterations to see where the most common defects occurred and select the corresponding test cases
Correct Answer: D 🗳️
Explanation: Only visible for TestKingsIT members. You can sign-up / login (it's free).
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock- price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION
- A. Testing for security
- B. Testing for bias
- C. Testing for accuracy
- D. Testing for concept drift
Correct Answer: D 🗳️
Explanation: Only visible for TestKingsIT members. You can sign-up / login (it's free).
Which of the below is NOT a characteristic that makes it difficult to use AI based systems?
- A. Complexity
- B. Lack of transparency
- C. Lack of robustness
- D. Lack of standards
Correct Answer: D 🗳️
Explanation: Only visible for TestKingsIT members. You can sign-up / login (it's free).
A word processing company is developing an automatic text correction tool. A machine learning algorithm was used to develop the auto text correction feature. The testers have discovered that when they start typing
"Isle of Wight" it fills in "Isle of Eight". Several UAT testers have accepted this change without noticing.
What type of bias is this?
- A. Complacency/Disregard
- B. Geographical/Locality
- C. Automation/Complacency
- D. Ignorance/Cognitive
Correct Answer: C 🗳️
Explanation: Only visible for TestKingsIT members. You can sign-up / login (it's free).
Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION
- A. These examples are model specific and are not likely to cause another model trained on same task to fail.
- B. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
- C. Black box attacks based on adversarial examples create an exact duplicate model of the original.
- D. These attacks can't be prevented by retraining the model with these examples augmented to the training data.
Correct Answer: A 🗳️
Explanation: Only visible for TestKingsIT members. You can sign-up / login (it's free).
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