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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. Threshold coverage
- C. Sign-change coverage
- D. Value-change coverage
Correct Answer: B π³οΈ
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Which statement about automation bias is correct?
Choose ONE option (1 out of 4)
- A. Automation bias particularly affects testing of autonomous systems
- B. Automation bias is tested with representative users, but human input quality is irrelevant
- C. Automation bias affects the testing of AI-based systems that support users in their actions or decisions
- D. When testing AI-based systems, automation bias does not play a role in supporting test activities such as boundary value analysis
Correct Answer: C π³οΈ
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Which ONE of the following is a factor associated with the test data that can create challenges specific to testing AI based systems?
- A. Obtaining appropriate data from users
- B. Manual creation of test data
- C. Obtaining data that has not been pre processed by the system under test
- D. Obtaining data from public benchmark datasets
Correct Answer: C π³οΈ
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"BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION
- A. A lack of focus on choosing the right functional-performance metrics.
- B. The input data has not been tested for quality prior to use for testing.
- C. A lack of similarity between the training and testing data.
- D. A lack of focus on non-functional requirements testing.
Correct Answer: C π³οΈ
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Which statement regarding the use of training, validation, and test data sets is correct?
Choose ONE option (1 out of 4)
- A. If only limited data is available, validation and test data sets can be combined in multiple ways during training.
- B. Optimally, the data should be distributed equally between the training, validation, and test data sets.
- C. The data in the test data set must be equivalent to the data in the training data sets and to the data in the validation data sets.
- D. If limited data is available, it may be better to work without a separate test data set.
Correct Answer: C π³οΈ
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