100% Free iSQI CT-AI_v1.0_World Practice Test Questions

Question 1

There is a growing backlog of unresolved defects for your project. You know the developers have an ML model that they have created which has learned which developers work on which type of software and the speed with which they resolve issues. How could you use this model to help reduce the backlog and implement more efficient defect resolution?

A : Use it to prioritize defects automatically based on the time expected for the fix to be made, the speed of the fix, and the likelihood of regressions.

B : Use it to assign defects to the best developer to resolve the problem and to load balance the defect assignments among the developers.

C : Use it to determine the root cause of each defect and develop a process improvement plan that can be implemented to remove the most common root causes.

D : Use it to review the code and determine where more defects are likely to occur so that testing can be targeted to those areas.

Answer: B

Question 2

A local business has a mail pickup/delivery robot for their office. The robot currently uses a track to move between pickup/drop off locations. When it arrives at a destination, the robot stops to allow a human to remove or deposit mail. The office has decided to upgrade the robot to include AI capabilities that allow the robot to perform its duties without a track, without running into obstacles, and without human intervention. The test team is creating a list of new and previously established test objectives and acceptance criteria to be used in the testing of the robot upgrade. Which of the following test objectives will test an AI quality characteristic for this system?

A : The robot must evolve to optimize its routing

B : The robot must recharge for no more than six hours a day

C : The robot must record the time of each delivery which is compiled into a report

D : The robot must complete 99.99% of its deliveries each day

Answer: A

Question 3

Which of the following is an example of an input change where it would be expected that the AI system should be able to adapt?

A : It has been trained to recognize cats and is given an image of a dog.

B : It has been trained to recognize human faces at a particular resolution and it is given a human face image captured with a higher resolution.

C : It has been trained to analyze mathematical models and is given a set of landscape pictures to classify.

D : It has been trained to analyze customer buying trend data and is given information on supplier cost data.

Answer: B

Question 4

Consider a machine learning model where the model is attempting to predict if a patient is at risk for stroke. The model collects information on each patient regarding their blood pressure, red blood cell count, smoking, status, history of heart disease, cholesterol level, and demographics. Then, using a decision tree the model predicts whether or not the associated patient is likely to have a stroke in the near future. One the model is created using a training data set, it is used to predict a stroke in 80 additional patients. The table below shows a confusion matrix on whether or not the model mode a correct or incorrect prediction. The testers have calculated what they believe to be an appropriate functional performance metric for the model. They calculated a value of 2/3 or 0.6667.

A : F1 –source

B : Precision

C : Recall

D : Accuracy

Answer: D

Question 5

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?

A : The team tests the time required for the fast and slow vehicles to travel the same route as the medium vehicle. Then, by calculating the speed difference, they then predict how much faster or slower the vehicles will travel. That information is then used to verify that the arrival time of the vehicles meets the expected result.

B : The team decomposes each route into the relevant components that affect the travel time such as traffic density and vehicle power. The team then uses statistical analysis to characterize the influence of each component to calculate the fast and slow vehicle route times.

C : The team uses an AI system to select the most dissimilar routes. With this information, any of the AI routes can be metaphorically transformed into a fast or slow route.

D : The team uses the same AI route planner to create routes that are longer and shorter but follow the same track. Finally, by driving the fast vehicles on the long routes and slow vehicles on the short routes and vice versa, the AI system will have enough information to infer travel times for all vehicles on all routes.

Answer: A

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