CT-AI 試験問題を無料オンラインアクセス

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

• A.Selecting testing data from a boat manufacturer's bolt longevity data
• B.Selecting training data by purposely including all known faulty conditions
• C.Selecting testing data from a different dataset than the training dataset
• D.Selecting training data purposely excluding specific faulty conditions

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?

• A.There is no risk, as the model has already been trained
• B.Insufficient function: the model was not trained to check for colors or words
• C.Improper data preparation
• D.Inherited bias: the model could have inherited unknown defects

Which ONE of the following would be the MOST effective input to an AI based defect prediction tool?

• A.Commit size
• B.Lines of code changed
• C.Developers associated with previous code changes
• D.Cyclomatic complexity

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?

• A.3 60/ (60 + 9)' 100% = 87%
• B.(60+ 11) / (60 + 11 + 20+ 9) * 100%-71%
• C.2 * (60 / (60 + 20) * 60 / (60 + 9)) / (60 / (60 + 20) + 60 / (60 + 9)) * 100% = 80%
• D.60 / (60 * 20) * 100% = 75%

Which of the following statements regarding experience-based testing for AI-based systems is correct?
Choose ONE option (1 out of 4)

• A.In checklist-based testing of AI-based systems, the existing test cases are dynamically adapted, for example based on metamorphic testing.
• B.Exploratory testing is often used for AI-based systems because there are often insufficient specifications or problems with the test oracle for AI-based systems.
• C.Tour refers to intuitive test case design for AI-based systems based on multiple, sequential test cases using systematically biased training data.
• D.Intuitive test case design for AI-based systems involves interactive, hypothesis-driven examination of data for correlations or developmental trends.