Free iSQI CT-AI_v1.0_World Exam Questions

Become iSQI Certified with updated CT-AI_v1.0_World exam questions and correct answers

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Total 336 Questions | Updated On: Jan 27, 2026

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Question 1

Which of the following neural network coverage criteria can be adapted for its application? Choose ONE option (1 out of 4)

A : Sign–Sign coverage

B : Sign–Change coverage

C : Threshold coverage

D : Neuron coverage

Answer: C

Question 2

Which of the following statements about reinforcement learning is correct? Choose ONE option (1 out of 4)

A : The agent creates a model of the environment from labeled data during training

B : The approach is suitable when the application doesnotrequire interaction with the environment

C : The agent’s training is based on a reward function that rewards successful attempts

D : From experience, the agent learns theoptimal reward function

Answer: C

Question 3

Which of the following neural network coverage criteria can be adapted for its application? Choose ONE option (1 out of 4)

A : Sign–Sign coverage

B : Sign–Change coverage

C : Threshold coverage

D : Neuron coverage

Answer: C

Question 4

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 5

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

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Total 336 Questions | Updated On: Jan 27, 2026

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