Try and practice the latest ISTQB : CT-AI real questions & answers

Updated: Aug 04, 2026

No. of Questions: 162 Questions & Answers with Testing Engine

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ISTQB CT-AI Exam Syllabus Topics:

TopicDetails
Topic 1
  • Testing AI-Specific Quality Characteristics: In this section, the topics covered are about the challenges in testing created by the self-learning of AI-based systems.
Topic 2
  • Methods and Techniques for the Testing of AI-Based Systems: In this section, the focus is on explaining how the testing of ML systems can help prevent adversarial attacks and data poisoning.
Topic 3
  • Introduction to AI: This exam section covers topics such as the AI effect and how it influences the definition of AI. It covers how to distinguish between narrow AI, general AI, and super AI; moreover, the topics covered include describing how standards apply to AI-based systems.
Topic 4
  • Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based
Topic 5
  • Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.
Topic 6
  • Quality Characteristics for AI-Based Systems: This section covers topics covered how to explain the importance of flexibility and adaptability as characteristics of AI-based systems and describes the vitality of managing evolution for AI-based systems. It also covers how to recall the characteristics that make it difficult to use AI-based systems in safety-related applications.
Topic 7
  • ML Functional Performance Metrics: In this section, the topics covered include how to calculate the ML functional performance metrics from a given set of confusion matrices.
Topic 8
  • systems from those required for conventional systems.
Topic 9
  • Neural Networks and Testing: This section of the exam covers defining the structure and function of a neural network including a DNN and the different coverage measures for neural networks.
Topic 10
  • ML: Data: This section of the exam covers explaining the activities and challenges related to data preparation. It also covers how to test datasets create an ML model and recognize how poor data quality can cause problems with the resultant ML model.

Reference: https://www.istqb.org/certifications/artificial-inteligence-tester

ISTQB CT-AI Exam Overview:

Certification Vendor:ISTQB
Exam Name:ISTQB Certified Tester - AI Testing
Exam Number:CT-AI
Real Exam Qty:40
Related Certifications:ISTQB CTFL
ISTQB CTAL-TTA
Exam Format:Multiple Choice
Available Languages:English
Certificate Validity Period:Lifetime (no expiration)
Exam Duration:60 minutes
Exam Price:EUR 250
Passing Score:65%
Sample Questions:ISTQB CT-AI Sample Questions
Exam Way:Online proctored or in-person at authorized testing centers
Pre Condition:ISTQB CTFL (Certified Tester Foundation Level) certification is recommended but not mandatory
Official Syllabus URL:https://www.istqb.org/certifications/artificial-intelligence-testing-certification

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