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: Aug 02, 2026
- No. of Questions: 40 Questions & Answers with Testing Engine
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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: Testing Quality Characteristics | 11% | - Explainability and reliability testing - Testing transparency, fairness, robustness |
| Topic 3: Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Topic 4: Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| 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: Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| Topic 8: AI-Based System Testing Methods | 17% | - Model validation and verification - Adversarial testing, bias testing |
| Topic 9: ML Functional Performance Metrics | 11% | - ROC, AUC, MSE, silhouette coefficient - Confusion matrix, accuracy, precision, recall |
| Topic 10: Introduction to AI | 10% | - AI technologies and frameworks
|
| Topic 11: Testing AI-Based Systems | 11% | - Test strategy and approach - Specific challenges and risks |
ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:
1. 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
2. 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.
3. 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.
4. "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
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C |
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