ISTQB CT-AI exam - in .pdf

CT-AI pdf
  • Exam Code: CT-AI
  • Exam Name: Certified Tester AI Testing Exam
  • Updated: Jun 28, 2026
  • Q & A: 162 Questions and Answers
  • PDF Price: $59.99
  • PDF Demo

ISTQB CT-AI Value Pack
(Frequently Bought Together)

CT-AI Online Test Engine

Online Test Engine supports Windows / Mac / Android / iOS, etc., because it is the software based on WEB browser.

  • Exam Code: CT-AI
  • Exam Name: Certified Tester AI Testing Exam
  • Updated: Jun 28, 2026
  • Q & A: 162 Questions and Answers
  • PDF Version + PC Test Engine + Online Test Engine
  • Value Pack Total: $119.98  $79.99
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ISTQB CT-AI exam - Testing Engine

CT-AI Testing Engine
  • Exam Code: CT-AI
  • Exam Name: Certified Tester AI Testing Exam
  • Updated: Jun 28, 2026
  • Q & A: 162 Questions and Answers
  • Software Price: $59.99
  • 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
  • Testing AI-Based Systems Overview: In this section, focus is given to how system specifications for AI-based systems can create challenges in testing and explain automation bias and how this affects testing.
Topic 3
  • 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 4
  • 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 5
  • Machine Learning ML: This section includes the classification and regression as part of supervised learning, explaining the factors involved in the selection of ML algorithms, and demonstrating underfitting and overfitting.
Topic 6
  • 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

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