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: Aug 02, 2026

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Question 1

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 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 is correct regarding the layers of a deep neural network?

A : There is only an input and output layer

B : There is at least one internal hidden layer

C : There must be a minimum of five total layers to be considered deep

D : The output layer is not connected with the other layers to maintain integrity

Answer: B

Question 4

Which option gives the correct values for accuracy and precision from the confusion matrix? Choose ONE option (1 out of 4)

A : Accuracy = 50%, Precision = 75%

B : Accuracy = 80%, Precision = 75%

C : Accuracy = 75%, Precision = 80%

D : Accuracy = 80%, Precision = 50%

Answer: B

Question 5

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

Page: 1 / 68

Total 336 Questions | Updated On: Aug 02, 2026

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