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CT-AI · Question #27
CT-AI Question #27: Real Exam Question with Answer & Explanation
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Question
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?
Options
- AMetamorphic testing because the application domain is not clearly understood at this point.
- BAdversarial testing to verify that no incorrect images have been used in the training.
- CPairwise testing using combinatorics to look at a long list of photo parameters.
- DBack-to-back testing using the version of the model before training and the new version of the
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