ISTQB CT AI
Q: 1
A bank wants to use an algorithm to determine which applicants should be given a loan. The bank
hires a data scientist to construct a logistic regression model to predict whether the applicant will
repay the loan or not. The bank has enough data on past customers to randomly split the data into a
training data set and a test/validation data set. A logistic regression model is constructed on the
training data set using the following independent variables:
Gender
Marital status
Number of dependents
Education
Income
Loan amount
Loan term
Credit score
The model reveals that those with higher credit scores and larger total incomes are more likely to
repay their loans. The data scientist has suggested that there might be bias present in the model
based on previous models created for other banks.
Given this information, what is the best test approach to check for potential bias in the model?
Options
Q: 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?
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Q: 3
Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to
autonomy?
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Q: 4
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?
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Q: 5
Which ONE of the following approaches to labelling requires the least time and effort?
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Q: 6
Which ONE of the following options is an example that BEST describes a system with Al-based
autonomous functions?
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Q: 7
Which ONE of the following activities is MOST relevant when addressing the scenario where you
have more than the required amount of data available for the training?
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Q: 8
A company producing consumable goods wants to identify groups of people with similar tastes for
the purpose of targeting different products for each group. You have to choose and apply an
appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned
task?
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Q: 9
Which ONE of the following characteristics is the least likely to cause safety related issues for an Al
system?
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Q: 10
Upon testing a model used to detect rotten tomatoes, the following data was observed by the test
engineer, based on certain number of tomato images.
For this confusion matrix which combinations of values of accuracy, recall, and specificity
respectively is CORRECT?
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For this confusion matrix which combinations of values of accuracy, recall, and specificity
respectively is CORRECT?
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