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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 sample bias.
D) This is an example of hyperparameter bias.

2. 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) Accuracy issues
C) Privacy issues
D) Bias issues

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

4. "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 recall and precision
B) Maximize specificity number of classes
C) Maximize precision and accuracy
D) Maximize accuracy and recall

Solutions: