Free Practice Questions for ISTQB Certified Tester AI Testing (CT-AI) V2.0 Certification
Study with 348 exam-style practice questions designed to help you prepare for the ISTQB Certified Tester AI Testing (CT-AI) V2.0. All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
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Key information about ISTQB Certified Tester AI Testing (CT-AI) V2.0
- Multiple choice
29 out of 44 points
ISTQB Certified Tester Foundation Level (CTFL)
Testers, test analysts, and test engineers, Test managers, Test consultants, Data analysts and data scientists, Software developers involved in developing AI-based systems, User acceptance testers, Project managers, Quality managers, Software development managers, Business analysts, IT directors and management consultants
60 minutes (75 minutes for non-native speakers)
40
Exam Topics & Skills Assessed
Skills measured (from the official study guide)
Domain 1: Introduction to Artificial Intelligence
Subdomain 1.1: Introduction to AI
- Introduction to AI
Subdomain 1.2: Quality Characteristics for AI-Based Systems
- Quality Characteristics for AI-Based Systems
Subdomain 1.3: Acceptance Criteria for AI-Based Systems
- Acceptance Criteria for AI-Based Systems
Domain 2: Machine Learning
Subdomain 2.1: Introduction to Machine Learning
- Introduction to Machine Learning
Subdomain 2.2: Data for Machine Learning
- Data for Machine Learning
Subdomain 2.3: ML Functional Performance Metrics for Classification
- ML Functional Performance Metrics
- Classification
Subdomain 2.4: Neural Networks
- Neural Networks
Domain 3: Testing AI-Based Systems
Subdomain 3.1: Introduction to Testing AI-Based Systems
- Introduction to Testing AI-Based Systems
Subdomain 3.2: Testing Generative AI and Large Language Models
- Testing Generative AI
- Large Language Models
Subdomain 3.3: Test Levels and Machine Learning Systems
- Test Levels
- Machine Learning Systems
Subdomain 3.4: Input Data Testing for Machine Learning Systems
- Input Data Testing
- Machine Learning Systems
Subdomain 3.5: Model Testing for Machine Learning Systems
- Model Testing
- Machine Learning Systems
Subdomain 3.6: Machine Learning Development Testing
- Machine Learning Development Testing
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