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ISTQB CT-AI Exam Syllabus Topics:
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Reference: https://www.istqb.org/certifications/artificial-inteligence-tester
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ISTQB Certified Tester AI Testing Sample Questions:
A neural network has been designed and created to assist day-traders improve efficiency when buying and selling commodities in a rapidly changing market. Suppose the test team executes a test on the neural network where each neuron is examined. For this network, the shortest path indicates a "buy" and it will only occur when the one-day predicted value of the commodity is greater than the spot price by 0.75%. The neurons are stimulated by entering commodity prices and testers verify that they activate only when the future value exceeds the spot price by at least 0.75%.
Which of the following statements BEST explains the type of coverage being tested on the neural network?
- A. Neuron coverage
- B. Sign-change coverage
- C. Value-change coverage
- D. Threshold coverage
Correct Answer: D 🗳️
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Which of the following statements about bias in AI based systems is MOST correct?
- A. Inappropriate bias can be caused by aspects of the algorithm or the data
- B. Inappropriate bias only affects ML systems that process data about people
- C. Inappropriate bias is caused by data used for training not being representative of the real world
- D. Inappropriate bias is caused by overweighting of particular classes in algorithms
Correct Answer: A 🗳️
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Which ONE of the below statements BEST describes how combinatorial testing can be applied to AI based systems?
- A. Two variants of the system can be used and compared
- B. Inputs to the system and environment factors can be considered parameters for pairwise tests
- C. Each neuron can be treated as a parameter for pairwise tests
- D. Combinatorial testing cannot yet be applied to AI
Correct Answer: B 🗳️
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Which statement about using AI to analyze reported defects is MOST correct?
Choose ONE option (1 out of 4)
- A. ML models can support duplicate defect identification when checking defect criticality.
- B. ML models can identify categories for a reported defect during assignment.
- C. ML models trained with critical defect tickets can identify defects that cause serious consequences.
- D. ML models identify developers who should handle a defect based on ticket content.
Correct Answer: B 🗳️
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You are evaluating the use of a highly accurate pre trained model that is used widely in industry tor a similar use case. There is an intention to apply transfer learning techniques to further customise the model. Which ONE of the following is the LEAST likely to be a significant risk with this approach?
- A. The functional performance of the pre trained model could be lower than stakeholders expect
- B. 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
- C. The functional performance of the system may exhibit bias
- D. The system may be vulnerable to adversarial attacks inherited from the pre trained model
Correct Answer: A 🗳️
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