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

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

3. In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION

A) Testing for bias
B) Testing for security
C) Testing for concept drift
D) Testing for accuracy

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

Solutions: