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ISTQB Certified Tester AI Testing Exam
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ISTQB CT-AI Questions and Answers
A wildlife conservation group would like to use a neural network to classify images of different animals. The algorithm is going to be used on a social media platform to automatically pick out pictures of the chosen animal of the month. This month’s animal is set to be a wolf. The test team has already observed that the algorithm could classify a picture of a dog as being a wolf because of the similar characteristics between dogs and wolves. To handle such instances, the team is planning to train the model with additional images of wolves and dogs so that the model is able to better differentiate between the two.
What test method should you use to verify that the model has improved after the additional training?
A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION
“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
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It is a certification that validates knowledge of AI-based systems testing and AI techniques applied in software testing.
The exam is offered by ISTQB under the Certified Tester AI Testing (CT-AI) syllabus.
The official exam code is ISTQB CT-AI.
The exam consists of multiple-choice questions (MCQs).
Typically, the exam includes 40 multiple-choice questions.
The duration is 60 minutes, with an additional 25% time for non-native speakers (if applicable).
A minimum of 65% (26 correct answers out of 40) is required to pass.
The exam is usually available in English and may be offered in other ISTQB-supported languages.
It covers AI testing concepts, AI system risks, ML lifecycle, testing approaches, and AI tools.
The CT-AI certification is valid for life and does not expire.
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TESTED 14 Dec 2025
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