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CT-AI ISTQBCertified Tester AI Testing Exam Free Practice Exam Questions (2025 Updated)

Prepare effectively for your ISTQB CT-AI ISTQBCertified Tester AI Testing Exam certification with our extensive collection of free, high-quality practice questions. Each question is designed to mirror the actual exam format and objectives, complete with comprehensive answers and detailed explanations. Our materials are regularly updated for 2025, ensuring you have the most current resources to build confidence and succeed on your first attempt.

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Total 80 questions

An engine manufacturing facility wants to apply machine learning to detect faulty bolts. Which of the following would result in bias in the model?

A.

Selecting training data purposely excluding specific faulty conditions

B.

Selecting training data by purposely including all known faulty conditions

C.

Selecting testing data from a different dataset than the training dataset

D.

Selecting testing data from a boat manufacturer's bolt longevity data

A team of software testers is attempting to create an AI algorithm to assist in software testing. This particular team has gone through over 40 iterations of testing and cannot afford to spend as much time as it takes to run the full regression test suite. They are hoping to have the algorithm reduce the amount of testing required, thus reducing the time needed for each testing cycle.

How can an AI-based tool be expected to assist in this reduction?

A.

By using a clustering method to quantify the relationships between test cases and then assigning each test case to a category

B.

By performing optimization of the data from past iterations to see where the most common defects occurred and select the corresponding test cases

C.

By performing Bayesian analysis to estimate the types of human interactions that are expected to be seen in the system and then selecting those test cases

D.

By using A/B testing to compare the last update with the newest change and compare metrics between the two

You have access to the training data that was used to train an AI-based system. You can review this information and use it as a guideline when creating your tests. What type of characteristic is this?

A.

Autonomy

B.

Explorability

C.

Transparency

D.

Accessibility

A startup company has implemented a new facial recognition system for a banking application for mobile devices. The application is intended to learn at run-time on the device to determine if the user should be granted access. It also sends feedback over the Internet to the application developers. The application deployment resulted in continuous restarts of the mobile devices.

Which of the following is the most likely cause of the failure?

A.

The feedback requires a physical connection and cannot be sent over the Internet

B.

Mobile operating systems cannot process machine learning algorithms

C.

The size of the application is consuming too much of the phone's storage capacity

D.

The training, processing, and diagnostic generation are too computationally intensive for the mobile device hardware to handle

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Total 80 questions
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