ISTQB CT-AI Exam Syllabus Topics:

Topic	Details
Topic 1	Using AI for Testing: In this section, the exam topics cover categorizing the AI technologies used in software testing.
Topic 2	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 3	systems from those required for conventional systems.
Topic 4	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 5	Test Environments for AI-Based Systems: This section is about factors that differentiate the test environments for AI-based
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	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.

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

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ISTQB Certified Tester AI Testing Sample Questions:

Question #1

When verifying that an autonomous AI-based system is acting appropriately, which of the following are MOST important to include?

A. Test cases to verify that the system automatically suppresses invalid output data
B. Test cases to detect the system prompting for unnecessary human intervention
C. Test cases to detect the system appropriately automating its data input
D. Test cases to verify that the system automatically confirms the correct classification of training data

Reveal Solution Discussion 0

Correct Answer: B 🗳️