Expert Answers to ISTQB Exam CT-AI Questions

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ISTQB AI Testing ISTQB Certified Tester AI Testing Exam

ISTQB Certified Tester AI Testing Exam

Last Update Nov 3, 2026
Total Questions : 160

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Questions 2

“BioSearch” is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.

A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.

Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?

SELECT ONE OPTION

Options:

A lack of similarity between the training and testing data.

The input data has not been tested for quality prior to use for testing.

A lack of focus on choosing the right functional-performance metrics.

A lack of focus on non-functional requirements testing.

Discussion 0

Questions 3

Which of the following statements regarding experience-based testing for AI-based systems is correct?

Choose ONE option (1 out of 4)

Options:

Intuitive test case design for AI-based systems involves interactive, hypothesis-driven examination of data for correlations or developmental trends.

In checklist-based testing of AI-based systems, the existing test cases are dynamically adapted, for example based on metamorphic testing.

Exploratory testing is often used for AI-based systems because there are often insufficient specifications or problems with the test oracle for AI-based systems.

Tour refers to intuitive test case design for AI-based systems based on multiple, sequential test cases using systematically biased training data.

Discussion 0

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Questions 4

Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?

SELECT ONE OPTION

Options:

Identifying the relationship between developers and the modules developed by them.

Search of similar code based on natural language processing.

Clustering of similar code modules to predict based on similarity.

Using a classification model to predict the presence of a defect by using code quality metrics as the input data.

Discussion 0

Questions 5

Which of the following statements about reinforcement learning is correct?

Choose ONE option (1 out of 4)

Options:

The agent creates a model of the environment from labeled data during training