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 engineersTest managersTest consultantsData analysts and data scientistsSoftware developers involved in developing AI-based systemsUser acceptance testersProject managersQuality managersSoftware development managersBusiness analystsIT 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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