ISTQB Certified Tester AI Testing - CT-AI Exam Practice Test

Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?

Which of the following neural network coverage criteria can be adapted for its application?

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?

Which statement about the property of the test environment for an AI-based system is correct?

Which of the following options BEST describes an example of reinforcement learning?

Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?

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?

"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?

Which of the following is a technique used in machine learning?

A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above- mentioned task?

The training of an ML model... What type of bias is LEAST important to look for when testing the model?