최신ISQI ISTQB Certified Tester AI Testing (v1.0) - CT-AI_v1.0_World무료샘플문제

A. These attacks can't be prevented by retraining the model with these examples augmented tothe training data.

B. These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.

C. Black box attacks based on adversarial examples create an exact duplicate model of the original.

D. These examples are model specific and are not likely to cause another model trained on same task to fail.

A. A comparison of two different websites for the same company to observe from a user acceptance perspective.

B. A comparison of the performance of two different ML implementations on the same input data.

C. A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.

D. A comparison of the performance of an ML system on two different input datasets.

A. Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

B. Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.

C. Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.

D. Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data

A. 0.84.1,0.9

B. 0.87.0.9. 0.84

C. 1,0.9, 0.8

D. 1,0.87,0.84