ISTQB CT-AI - ISTQB Certified Tester - AI Testing Exam
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Total 119 questions
Question #11 (Topic: Exam A)
While measuring the test coverage of a neural network, a test engineer wants to measure the number of neurons that have each output two activation function results with a minimum difference between the two results of 0.5.
Which ONE of the below coverage measures would achieve that goal?
Which ONE of the below coverage measures would achieve that goal?
A. Neuron coverage
B. Value-change coverage
C. Sign-change coverage
D. None of the coverage measures
Answer: B
Question #12 (Topic: Exam A)
Which ONE of the below is MOST likely to be a challenge in ML data preparation?
A. The time and associated costs required
B. Functional performance
C. Designing a reward function
D. Specification of acceptance criteria
Answer: A
Question #13 (Topic: Exam A)
You are evaluating the use of a highly accurate pre-trained model that is used widely in industry for a similar use case. There is an intention to apply transfer learning techniques to further customize the model.
Which ONE of the following is the LEAST likely to be a significant risk with this approach?
Which ONE of the following is the LEAST likely to be a significant risk with this approach?
A. The functional performance of the system may exhibit bias
B. The system may be vulnerable to adversarial attacks inherited from the pre-trained model
C. Differences in data preparation steps between the training of the pre-trained model and consequent use of the model may result in reduced functional performance
D. The functional performance of the pre-trained model could be lower than stakeholders expect
Answer: D
Question #14 (Topic: Exam A)
Which ONE of the below is NOT likely to cause a data quality issue affecting a single ML model?
A. Security issues
B. Hardware issues
C. Incorrect weights
D. Faulty sensors
Answer: C
Question #15 (Topic: Exam A)
The following confusion matrix represents the functional performance of a classifier.
Which ONE of the following is the correct calculation for the accuracy of the classifier?
Which ONE of the following is the correct calculation for the accuracy of the classifier?
A. 60 / (60 + 20) * 100% = 75%
B. 60 / (60 + 9) * 100% = 87%
C. 2 * (60 / (60 + 20) * 60 / (60 + 9)) / (60 / (60 + 20) + 60 / (60 + 9)) * 100% = 80%
D. (60 + 11) / (60 + 11 + 20 + 9) * 100% = 71%
Answer: D
