CT-AI_v1.0_World Exam Dumps
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| Certification Provider: | ISQI |
|---|---|
| Exam Code / Number: | CT-AI_v1.0_World |
| Exam Name: | ISTQB Certified Tester AI Testing (v1.0) |
| Exam Questions: | 40 |
| Last Updated: | Jun 23, 2026 |
| Corresponding Certification: | AI Testing |
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(269 Up Votes)ISQI CT-AI_v1.0_World Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Introduction to AI | 10% | - AI definitions and types
|
| AI-Based System Testing Methods | 17% | - Adversarial testing, bias testing - Model validation and verification |
| Testing Quality Characteristics | 11% | - Testing transparency, fairness, robustness - Explainability and reliability testing |
| Using AI for Testing Activities | 10% | - Regression optimization, test analysis - Test case generation, defect prediction |
| ML Functional Performance Metrics | 11% | - Confusion matrix, accuracy, precision, recall - ROC, AUC, MSE, silhouette coefficient |
| Machine Learning (ML) Overview | 11% | - Supervised, unsupervised, reinforcement learning - ML workflow, overfitting, underfitting |
| Neural Networks and Testing | 4% | - Coverage measures for deep learning - Structure of neural networks |
| ML Data | 10% | - Data acquisition, preprocessing, labeling - Data quality issues and impact |
| Test Environment for AI Systems | 2% | - Data and infrastructure requirements |
| Quality Characteristics for AI-Based Systems | 10% | - Flexibility, adaptability, autonomy - Ethics, bias, transparency and safety |
| Testing AI-Based Systems | 11% | - Specific challenges and risks - Test strategy and approach |