CT-AI_v1.0_World試験無料問題集（40題）「ISQI ISTQB Certified Tester AI Testing (v1.0) 認定」

出題：1

"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

A. A lack of focus on choosing the right functional-performance metrics.

B. The input data has not been tested for quality prior to use for testing.

C. A lack of similarity between the training and testing data.

D. A lack of focus on non-functional requirements testing.

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：2

Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

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

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

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

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

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：3

Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

A. 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.

B. 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

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

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

正解：C 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

出題：4

Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?
SELECT ONE OPTION

A. Testing the API of the service powered by the ML model.

B. Testing the speed of the prediction by the model.

C. Testing the accuracy of the classification model.

D. Testing the speed of the training of the model.

正解：D 解答を投票する

解説: (GoShiken メンバーにのみ表示されます)

CT-AI_v1.0_World試験無料問題集「ISQI ISTQB Certified Tester AI Testing (v1.0) 認定」