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

1. "AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION

A) The fast pace of change did not allow sufficient time for testing.
B) The difficulty of defining criteria for improvement before the model can be accepted.
C) There was an algorithmic bias in the Al system.
D) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.

2. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

A) Threshold coverage
B) Neuron coverage
C) Sign change coverage
D) Value coverage

3. Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION

A) Robustness
B) High complexity
C) Self-learning
D) Non-determinism

4. 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) 0.84.1,0.9
B) 0.87.0.9. 0.84
C) 1,0.87,0.84
D) 1,0.9, 0.8

Solutions: