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

1. Which ONE of the following statements correctly describes the importance of flexibility for Al systems?
SELECT ONE OPTION

A) Al systems require changing of operational environments; therefore, flexibility is required.
B) Al systems are inherently flexible.
C) Self-learning systems are expected to deal with new situations without explicitly having to program for it.
D) Flexible Al systems allow for easier modification of the system as a whole.

2. Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION

A) Testing the distribution shift in the training data for inappropriate bias.
B) Check the input test data for potential sample bias.
C) Test the model during model evaluation for data bias.
D) Testing the data pipeline for any sources for algorithmic bias.

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) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
B) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
C) 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.
D) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.

4. Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?
SELECT ONE OPTION

A) Accuracy issues
B) Privacy issues
C) Bias issues
D) Security issues

Solutions: