Study with CT-AI Actual Test Questions

Pass the actual test with the help of CT-AI study guide

Updated: Jun 23, 2026

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

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ISTQB CT-AI Exam Syllabus Topics:

TopicDetails
Topic 1
  • Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.
Topic 2
  • 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 3
  • 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 4
  • 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 5
  • 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.
Topic 6
  • 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.

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

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Frequently Asked Questions

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All the products are updated frequently but not on a fixed date. Our professional team pays a great attention to the exam updates and they always upgrade the content accordingly.

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