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

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

2. 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) 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.
B) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
C) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
D) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.

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

4. A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
SELECT ONE OPTION

A) Regression
B) Classification
C) Reinforcement learning
D) Clustering

Solutions: