Free Practice Questions for ISTQB Certified Tester AI Testing (CT-AI) Certification
Study with exam-style practice questions designed to help you prepare for the ISTQB Certified Tester AI Testing (CT-AI). All questions are aligned with the latest exam guide and include detailed explanations to help you master the material.
Start Practicing
All Domains
Practice with randomly mixed questions from all topics
Domain Mode
Practice questions from a specific topic area
Quiz History
Exam Details
Key information about ISTQB Certified Tester AI Testing (CT-AI)
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 for 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 and Large Language Models
Subdomain 3.3: Test Levels and Machine Learning Systems
Test Levels and Machine Learning Systems
Subdomain 3.4: Input Data Testing for Machine Learning Systems
Input Data Testing for Machine Learning Systems
Subdomain 3.5: Model Testing for Machine Learning Systems
Model Testing for Machine Learning Systems
Subdomain 3.6: Machine Learning Development Testing
Machine Learning Development Testing
Techniques & products