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

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

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

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

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

4. "BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION

A) A lack of focus on non-functional requirements testing.
B) A lack of similarity between the training and testing data.
C) The input data has not been tested for quality prior to use for testing.
D) A lack of focus on choosing the right functional-performance metrics.

Solutions: