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

1. "Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION

A) Maximize precision and accuracy
B) Maximize specificity number of classes
C) Maximize recall and precision
D) Maximize accuracy and recall

2. 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 algorithmic bias.
D) This is an example of hyperparameter bias.

3. 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) Accuracy issues
B) Privacy issues
C) Bias issues
D) Security issues

4. 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 examples are model specific and are not likely to cause another model trained on same task to fail.
B) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
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.

Solutions: