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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) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
D) There was an algorithmic bias in the Al system.

2. An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION

A) This is an example of expert system bias.
B) This is an example of hyperparameter bias.
C) This is an example of sample bias.
D) This is an example of algorithmic bias.

3. Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION

A) Identifying suitable tests by looking at the complexity of the test cases.
B) Using of a random subset of tests.
C) Using an Al-based tool to optimize the regression test suite by analyzing past test results
D) Automating test scripts using Al-based test automation tools.

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

Solutions: