ISTQB Foundation (CT-AI v2.0) Mock Exam #3
A third full-length ISTQB CT-AI (v2.0) practice exam. 40 questions, 60 minutes, 65% to pass. Covers AI quality characteristics, ML performance metrics (with a confusion-matrix calculation), ML input data testing, model testing, neural-network coverage, deployment testing, self-learning/autonomous systems, explainability, bias and GenAI/LLM testing — with a written rationale behind every answer.
Exam format
The ISTQB CT-AI v2.0 exam has 40 questions, 60 minutes, and 29 of 44 points (65%) to pass.
ExamCaliber has 220 free ISTQB CT-AI v2.0 practice questions in 5 full-length mock exams of 40 questions, 60 minutes and 65% to pass — every answer, right and wrong, carries a written rationale. No sign-up, no paywall.
What this mock covers
This paper draws 40 questions from 10 chapters of the ISTQB CT-AI v2.0 syllabus. The split below is read from the questions bound to this mock, so it is the paper you will actually sit rather than a target.
| Chapter | Questions | Share |
|---|---|---|
| ML Deployment Testing | 4 | 10% |
| GenAI and LLM Testing | 6 | 15% |
| Introduction to AI | 3 | 8% |
| Quality Characteristics for AI-Based Systems | 4 | 10% |
| ML Input Data Testing | 4 | 10% |
| ML Model Testing | 4 | 10% |
| ML Functional Performance Metrics | 7 | 18% |
| Explainability and Transparency | 2 | 5% |
| Bias and Ethics in AI | 2 | 5% |
| AI-Specific Test Approaches | 4 | 10% |
Cognitive levels in this mock
Each of the 40 questions is mapped to a syllabus cognitive level - K1 recall, K2 comprehension, K3 application, K4 analysis. A paper heavy on K3 asks you to apply a technique, not to name it.
- K2 - Understand27 (68%)
- K3 - Apply13 (33%)
Other mock exams for this certification
4 more mock exams are available for ISTQB CT-AI v2.0, each a different selection from the same question bank.
- CT-AI Mock Exam #1 — 40 questions
- CT-AI Mock Exam #2 — 40 questions
- CT-AI Mock Exam #4 — 40 questions
- CT-AI Mock Exam #5 — 40 questions