Short on study time for the ISQI ISTQB Certified Tester AI Testing (v1.0) exam? Getcertkey condenses your preparation into 40 focused practice questions for the CT-AI_v1.0_World exam, so even a packed schedule leaves room for steady, measurable progress.
ISQI CT-AI_v1.0_World Exam Overview:
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Machine Learning Fundamentals for Testers | - Model training and evaluation basics - Supervised and unsupervised learning concepts |
| Topic 2: AI System Quality Risks | - Ethical and legal considerations - Model drift and performance degradation |
| Topic 3: Testing AI-Based Systems | - Bias, fairness, and explainability testing - Testing ML models - Data quality and dataset validation |
| Topic 4: AI in Test Automation | - AI-supported test generation - AI-based defect prediction and analytics |
| Topic 5: Introduction to AI in Software Testing | - Role of AI in testing - AI systems overview |
CT-AI_v1.0_World Exam FAQs for 2026 Candidates
Which certification does the CT-AI_v1.0_World exam lead to?
The CT-AI_v1.0_World exam is the official iSQI / ISTQB exam behind the ISTQB Certified Tester AI Testing certification, validating the skills measured by the ISQI ISTQB Certified Tester AI Testing (v1.0) credential. It sits at the Professional level of the iSQI / ISTQB certification program. It also connects to ISTQB Certified Tester Foundation Level (CTFL), so the knowledge you build here carries over to those tracks as well.
Are there any prerequisites for the CT-AI_v1.0_World exam?
ISTQB Foundation Level certification recommended Requirements can change when iSQI / ISTQB revises its certification program, so confirm the current eligibility rules on the official exam page before you register.
How do I register for the CT-AI_v1.0_World exam?
You can book the ISQI ISTQB Certified Tester AI Testing (v1.0) exam through the official registration channels below:
As for delivery, the exam is offered in the following format: Online or onsite proctored exam via accredited providers (e.g., iSQI). Choose the option that suits you best when you book your seat.
What official training is recommended for the CT-AI_v1.0_World exam?
iSQI / ISTQB recommends the following training resources for the ISQI ISTQB Certified Tester AI Testing (v1.0) exam:
Official courses build the foundation; the 40 practice questions from Getcertkey then show you how that knowledge is examined, so the two work best together.
Can I try the CT-AI_v1.0_World practice questions before I buy?
Yes. Getcertkey provides a free CT-AI_v1.0_World PDF demo so you can review the question style and answer quality before purchasing. Every purchase also includes 365 days of free updates — if ISQI revises the exam during that period, the updated material reaches you at no cost. Once the free-update year ends, you can extend your update service at a 50% discount.
What if I fail the CT-AI_v1.0_World exam, and how is my order delivered?
Every ISQI ISTQB Certified Tester AI Testing (v1.0) purchase on Getcertkey is covered by a 100% money-back guarantee with clear conditions: if you take the corresponding exam within 60 days of your purchase and do not pass, you can claim a full refund by submitting a scanned copy of your exam enrollment slip and your official score report as a PDF within two days of the exam date; claims are processed within seven days of submission. The guarantee does not apply to exams taken within three days of purchase, to material that was downloaded but never used in an exam attempt, or to free products and expired orders, and the candidate name must match the payer name. If you would rather not take a refund, you can instead exchange your purchase for two free exam preparation products of equal value and keep the update service on your original product.
Delivery is instant: your download is sent to your email within one minute of payment, with no limit on how many computers you may install the material on. If nothing arrives within two hours, check your spam folder and contact customer service for help.
What topics are covered in the CT-AI_v1.0_World exam?
The ISQI ISTQB Certified Tester AI Testing (v1.0) exam blueprint is organized into 5 domains. The first three are:
- AI in Test Automation
- Introduction to AI in Software Testing
- AI System Quality Risks
For the complete domain-by-domain breakdown, scroll up to the full exam topics outline above and use it to plan how you distribute your study time.
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
Question #1
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 attacks can't be prevented by retraining the model with these examples augmented tothe training data.
C. Black box attacks based on adversarial examples create an exact duplicate model of the original.
D. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
Question #2
Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A. Clustering is done without prior knowledge of output classes.
B. Clustering requires you to know the classes.
C. Clustering is classification of a continuous quantity.
D. Clustering is supervised learning.
Question #3
A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
A. Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
B. Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
C. Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
D. Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
Question #4
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION
A. High complexity
B. Non-determinism
C. Robustness
D. Self-learning
Solutions:
| Question #1 Answer: A | Question #2 Answer: A | Question #3 Answer: A | Question #4 Answer: C |


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