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

2. A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION

A) I and II
B) Only II
C) I and III
D) Only III

3. Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION

A) Different Road Types
B) ML model metrics to evaluate the functional performance
C) Different features like ADAS, Lane Change Assistance etc.
D) Different weather conditions

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

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

Solutions: