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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

1. Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

A) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
B) These examples are model specific and are not likely to cause another model trained on same task to fail.
C) Black box attacks based on adversarial examples create an exact duplicate model of the original.
D) These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.

2. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

A) Value coverage
B) Sign change coverage
C) Threshold coverage
D) Neuron coverage

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

4. Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?
SELECT ONE OPTION

A) Security issues
B) Bias issues
C) Privacy issues
D) Accuracy issues

Solutions: