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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION

A) A comparison of the performance of two different ML implementations on the same input data.
B) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
C) A comparison of two different websites for the same company to observe from a user acceptance perspective.
D) A comparison of the performance of an ML system on two different input datasets.

2. Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION

A) 1,0.87,0.84
B) 0.87.0.9. 0.84
C) 0.84.1,0.9
D) 1,0.9, 0.8

3. A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION

A) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
B) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
C) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
D) Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.

4. Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION

A) Data sampling
B) Feature selection
C) Data augmentation
D) Data labeling

Solutions: