ISTQBCertified Tester AI Testing (CT-AI)EN · DE · ES

ISTQB Foundation (CT-AI v2.0) Mock Exam #5

A fifth full-length ISTQB CT-AI (v2.0) practice exam. 40 questions, 60 minutes, 65% to pass. Covers AI quality characteristics, ML functional performance metrics (with confusion-matrix calculations), ML input data testing, model testing, neural-network coverage, deployment and monitoring, GenAI/LLM testing (including prompt injection and RAG), explainability, bias and AI-specific test approaches — with a written rationale behind every answer.

Focus: ML Functional Performance Metrics, GenAI and LLM Testing7 applied questions
40 questions
60 minutes
65% to pass

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.

ChapterQuestionsShare
Quality Characteristics for AI-Based Systems410%
ML Model Testing410%
ML Functional Performance Metrics718%
GenAI and LLM Testing615%
Explainability and Transparency25%
AI-Specific Test Approaches410%
Introduction to AI38%
ML Input Data Testing410%
ML Deployment Testing410%
Bias and Ethics in AI25%

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.

  • K1 - Remember3 (8%)
  • K2 - Understand30 (75%)
  • K3 - Apply7 (18%)

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.