ISTQB Certified Tester AI Testing (v1.0): CT-AI_v1.0_World Exam
"ISTQB Certified Tester AI Testing (v1.0)", also known as CT-AI_v1.0_World exam, is a ISQI Certification. With the complete collection of questions and answers, PrepPDF has assembled to take you through 40 Q&As to your CT-AI_v1.0_World Exam preparation. In the CT-AI_v1.0_World exam resources, you will cover every field and category in AI Testing Certification helping to ready you for your successful ISQI Certification.
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- Exam Code: CT-AI_v1.0_World
- Exam Name: ISTQB Certified Tester AI Testing (v1.0)
- Certification Provider: ISQI
- Corresponding Certification: AI Testing
- Updated: Sep 20, 2026
- No. of Questions: 40 Questions & Answers with Testing Engine
- Download Limit: Unlimited
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ISQI CT-AI_v1.0_World Exam Overview:
| Certification Vendor: | iSQI / ISTQB |
|---|---|
| Exam Name: | ISTQB Certified Tester AI Testing (v1.0) |
| Exam Number: | CT-AI_v1.0_World |
| Related Certifications: | ISTQB Certified Tester Foundation Level (CTFL) |
| Passing Score: | 65% (31 out of 47 points) |
| Certificate Validity Period: | Lifetime |
| Available Languages: | German, English, Brazilian Portuguese, Polish, Spanish, French |
| Exam Duration: | 60 (75 for non-native language) |
| Exam Price: | US$87.29 - US$213.00 / €240.00 (varies by region) |
| Exam Format: | Multiple Choice Questions (single/multiple answer) |
| Real Exam Qty: | 40 |
| Recommended Training: | ISTQB Accredited Training Providers iSQI Training Partners |
| Exam Registration: | Pearson VUE iSQI Official Registration |
| Sample Questions: | DOWNLOAD DEMO |
| Exam Way: | In-person test center or online remote proctored (FLEX exam) |
| Pre Condition: | ISTQB Certified Tester Foundation Level (CTFL) certification required |
| Official Syllabus URL: | https://istqb.org/certifications/certified-tester-ai-testing-ct-ai-retiring/ |
ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| Topic 2: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 3: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 4: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 5: Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Topic 6: ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Topic 7: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
| Topic 8: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 9: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 10: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Topic 11: Introduction to AI | 10% | - AI technologies and frameworks
|
Frequently Asked Questions: ISQI ISTQB Certified Tester AI Testing (v1.0) Exam
The ISQI ISTQB Certified Tester AI Testing (v1.0) exam requires 65% (31 out of 47 points) to pass, and registration costs US$87.29 - US$213.00 / €240.00 (varies by region). A failed attempt means paying the same fee again — a readiness check with the PrepPDF engines before booking is the cheaper option.
ISQI recommends these training resources for the ISQI ISTQB Certified Tester AI Testing (v1.0) exam:
Follow the training with steady self-testing — the 40 practice questions from PrepPDF help you apply theory and fill any gaps the training leaves.
The CT-AI_v1.0_World exam is a ISQI certification exam validating the ISQI ISTQB Certified Tester AI Testing (v1.0) syllabus shown above. It belongs to these credential paths: ISTQB Certified Tester Foundation Level (CTFL). Candidates in 2026 prepare for it with PrepPDF's 40 practice questions, available as a printable PDF, a Windows Desktop Test Engine, and an Online Test Engine — three versions of the same materials.
PrepPDF issues a full refund if you take the ISQI ISTQB Certified Tester AI Testing (v1.0) exam within 60 days of purchase and do not pass. The policy does not apply if the exam is taken within 3 days of purchase, if the exam was never actually taken, or to free materials or expired orders, and the candidate name must match the payer name. Submit a scan of your enrollment slip and the official Score Report PDF within 2 days of the exam; claims are processed within 7 days. Alternatively, exchange for two free exam products of equal value and keep your original update service. Orders arrive by email within 1 minute — contact support if nothing arrives within 2 hours.
In-person test center or online remote proctored (FLEX exam) Register for the ISQI ISTQB Certified Tester AI Testing (v1.0) exam through these official channels:
After booking, PrepPDF delivers your practice questions within 1 minute — preparation starts the same day.
The ISQI ISTQB Certified Tester AI Testing (v1.0) exam contains 40 to complete within 60 (75 for non-native language). Timed simulation in the PrepPDF Desktop Test Engine teaches that rhythm before exam day does.
The official ISQI ISTQB Certified Tester AI Testing (v1.0) outline defines 11 domains. The leading three are ML Data (10%), Testing AI-Based Systems (11%), and Neural Networks and Testing (4%). The full list is in the topics section above, and PrepPDF's 40 practice questions cover each one.
Three versions of the same study materials: a printable, expert-prepared PDF with free demo download and instant access; a Desktop Test Engine for Windows that simulates the real exam with two practice modes and works offline; and an Online Test Engine for any browser on Windows, Mac, Android, and iOS with test history and performance review. All 40 practice questions are identical across versions. Every purchase includes 365 days of free updates — whenever a new version is compiled, it is sent to you automatically — plus a 50% renewal discount afterward and unlimited computer installations.
ISTQB Certified Tester Foundation Level (CTFL) certification required Since requirements change over time, confirm the latest on the official ISQI exam page before scheduling.
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
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 bias
- B. Testing for accuracy
- C. Testing for security
- D. Testing for concept drift
Correct Answer: D 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION
- A. A comparison of the performance of an ML system on two different input datasets.
- B. A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
- C. A comparison of the performance of two different ML implementations on the same input data.
- D. A comparison of two different websites for the same company to observe from a user acceptance perspective.
Correct Answer: A 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION
- A. Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
- B. Using a pixel comparison of the GUI before and after the change to check the differences.
- C. Using a computer vision to compare the GUI before and after the test object changes.
- D. Using a vision-based detection of the GUI layout changes before and after test object changes.
Correct Answer: B 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
"Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION
- A. Maximize specificity number of classes
- B. Maximize precision and accuracy
- C. Maximize recall and precision
- D. Maximize accuracy and recall
Correct Answer: C 🗳️
Explanation: Only visible for PrepPDF members. You can sign-up / login (it's free).
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