[100% Off] Istqb Ct-Ai V2.0 Ai Testing Practice Exams | 240 Questions

6 full mock exams on ML, GenAI, red teaming, input data and model testing, with detailed explanations for every option

Added on October 31, 2026 IT & Software 2 min read

What you’ll learn

• Practice with 240 original questions in 6 full mock exams that follow the official ISTQB CT-AI v2.0 exam structure,Learn why every answer option is right or wrong
• with explanations tied to each CT-AI v2.0 learning objective,Solve exam-style calculations on accuracy
• precision
• recall and F1
• and apply metamorphic testing and dataset constraints,Check your readiness for each syllabus chapter
• from ML basics and GenAI testing to input data
• model and deployment testing,Build exam-day confidence by working through realistic 40-question
• 60-minute practice tests until you pass consistently

Requirements

• ISTQB Certified Tester Foundation Level (CTFL) certification
• which is required to sit the official CT-AI exam,Access to the free ISTQB CT-AI v2.0 syllabus
• as these tests are designed to be used alongside it,No programming or data science experience is needed. Basic knowledge of software testing is enough to get started

Description

Preparing for the ISTQB® Certified Tester AI Testing (CT-AI) exam? This course gives you 6 full-length practice exams with 240 original questions, written from the new CT-AI v2.0 syllabus.

Every exam follows the official CT-AI v2.0 exam structure: 40 questions, 60 minutes, and the same mix of learning objectives and K-levels as the real exam. You practice exactly what the exam tests, chapter by chapter.

What makes these practice tests different:

– Written for v2.0 – covers the updated syllabus content, including generative AI testing, red teaming, data pipeline testing, data representativeness, label correctness, statistical ML performance testing and deployment testing.

– Every option explained – you learn why the correct answer is right AND why each wrong option is wrong, so every mistake becomes a lesson.

– Syllabus references – each question shows its learning objective (for example AI-5.1.5) and K-level, so you know exactly what to review.

– Exam-style calculations – practice confusion matrix metrics (accuracy, precision, recall, F1), dataset constraint scenarios and metamorphic testing questions like the K3 questions in the real exam.

– 100% original questions – no copied or reworded official sample questions.

Topics covered across all 6 exams:

1. Introduction to Artificial Intelligence

2. Quality Characteristics for AI-Based Systems

3. Machine Learning

4. Testing AI-Based Systems

5. Input Data Testing for Machine Learning Systems

6. Model Testing for Machine Learning Systems

7. Machine Learning Development Testing

Important note about scoring: the real CT-AI exam is points-based (44 points in total; K3 questions are worth 2 points, and you need 29 points to pass). Udemy scores every question equally, so aim for at least 70–75% here to build a safe margin for exam day.

How to use this course: take each exam in timed conditions, review every explanation, revisit the syllabus sections you missed, and retake the exam until you consistently score above the pass mark.

Disclaimer: This course is not affiliated with, endorsed by, or sponsored by ISTQB®. ISTQB® is a registered trademark of the International Software Testing Qualifications Board.