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iSQI CT-AI Practice Test - Questions Answers, Page 8

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Question 71

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A beer company is trying to understand how much recognition its logo has in the market. It plans to do that by monitoring images on various social media platforms using a pre-trained neural network for logo detection. This particular model has been trained by looking for words, as well as matching colors on social media images. The company logo has a big word across the middle with a bold blue and magenta border.

Which associated risk is most likely to occur when using this pre-trained model?

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Question 72

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When verifying that an autonomous AI-based system is acting appropriately, which of the following are MOST important to include?

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Question 73

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Which of the following is correct regarding the layers of a deep neural network?

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Question 74

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A mobile app start-up company is implementing an AI-based chat assistant for e-commerce customers. In the process of planning the testing, the team realizes that the specifications are insufficient.

Which testing approach should be used to test this system?

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Question 75

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A transportation company operates three types of delivery vehicles in its fleet. The vehicles operate at different speeds (slow, medium, and fast). The transportation company is attempting to optimize scheduling and has created an AI-based program to plan routes for its vehicles using records from the medium-speed vehicle traveling to selected destinations. The test team uses this data in metamorphic testing to test the accuracy of the estimated travel times created by the AI route planner with the actual routes and times.

Which of the following describes the next phase of metamorphic testing?

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Question 76

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You have access to the training data that was used to train an AI-based system. You can review this information and use it as a guideline when creating your tests. What type of characteristic is this?

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Question 77

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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?

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Question 78

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A word processing company is developing an automatic text correction tool. A machine learning algorithm was used to develop the auto text correction feature. The testers have discovered when they start typing 'Isle of Wight' it fills in 'Isle of Eight'. Several UAT testers have accepted this change without noticing. What type of bias is this?

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Question 79

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An engine manufacturing facility wants to apply machine learning to detect faulty bolts. Which of the following would result in bias in the model?

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Question 80

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Consider an AI system in which the complex internal structure has been generated by another software system. Why would the tester choose to do black-box testing on this particular system?

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