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ISTQB Certified Tester AI Testing Exam
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Which of the following aspects is a challenge when handling test data for an AI-based system?
A neural network has been designed and created to assist day-traders improve efficiency whenbuying and selling commodities in a rapidly changing market. Suppose the test team executes a teston the neural network where each neuron is examined. For this network the shortest path indicates abuy, and it will only occur when the one-day predicted value of the commodity is greater than thespot price by 0.75%. The neurons are stimulated by entering commodity prices and testers verify thatthey 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 neuralnetwork?
Which of the following is an example of a clustering problem that can be resolved by unsupervisedlearning?
Consider a machine learning model where the model is attempting to predict if a patient is at risk forstroke. The model collects information on each patient regarding their blood pressure, red blood cellcount, smoking, status, history of heart disease, cholesterol level, and demographics. Then, using adecision tree the model predicts whether or not the associated patient is likely to have a stroke in thenear future. One the model is created using a training data set, it is used to predict a stroke in 80additional patients. The table below shows a confusion matrix on whether or not the model mode acorrect or incorrect prediction.The testers have calculated what they believe to be an appropriate functional performance metricfor the model. They calculated a value of 2 or 0.6667.
Consider a natural language processing (NLP) algorithm that attempts to predict the next word thatyou would like to type in a text message. An update to the algorithm has been created that shouldincrease the accuracy of the predictions based on user typing patterns. The old algorithm was ratedfor accuracy by the users. Then, after the new update was released, the users rated the updatedalgorithm. A statistical test was used to compare between the two versions of the algorithm to seewhether or not the update should remain in place.This is an example of what type of testing?
A motorcycle engine repair shop owner wants to detect a leaking exhaust valve and fix it before itfalls and causes catastrophic damage to the engine. The shop developed and trained a predictivemodel with historical data files from known health engines and ones which experienced acatastrophic fails due to exhaust valve failure. The shop evaluated 200 engines using this model andthen disassembled the engines to assess the true state of the valves, recording the results in theconfusion matrix below.What is the precision of this predictive model
A tourist calls an airline to book a ticket and is connected with an automated system which is able torecognize speech, understand requests related to purchasing a ticket, and provide relevant traveloptions. When the tourist asks about the expected weather at the destination or potential impactson operations because of the tight labor market the only response from the automated system is: "Idon't understand your question."This AI system should be categorized as?
You are testing an autonomous vehicle which uses AI to determine proper driving actions andresponses. You have evaluated the parameters and combinations to be tested and have determinedthat there are too many to test in the time allowed. It has been suggested that you use pairwisetesting to limit the parameters. Given the complexity of the software under test, what is likely theoutcome from using pairwise testing?
A wildlife conservation group would like to use a neural network to classify images of differentanimals. The algorithm is going to be used on a social media platform to automatically pick outpictures of the chosen animal of the month. This month's animal is set to be a wolf. The test teamhas already observed that the algorithm could classify a picture of a dog as being a wolf because ofthe similar characteristics between dogs and wolves. To handle such instances, the team is planningto train the model with additional images of wolves and dogs so that the model is able to betterdifferentiate between the two.What test method should you use to verify that the model has improved after the additionaltraining?
The stakeholders of a machine learning model have confirmed that they understand the objectiveand purpose of the model, and ensured that the proposed model aligns with their business priorities.They have also selected a framework and a machine learning model that they will be using.What should be the next step to progress along the machine learning workflow?