Free iSQI CT-AI_v1.0_World Exam Questions

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Total 336 Questions | Updated On: Mar 20, 2026

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Question 1

Which of the following descriptions of quality aspects of a data set is correct? Choose ONE option (1 out of 4)

A : The quality aspect "Incomplete data" describes the fact that data is missing, e.g., for a certain time interval.

B : The quality aspect "Data not preprocessed" describes the fact that the collected data was recorded incorrectly.

C : The quality aspect "Irrelevant data" describes the fact that irrelevant data does not affect the ML model.

D : The quality aspect "Unbalanced data" describes the fact that the data used should be as up-to-date as possible.

Answer: A

Question 2

Which machine learning approach is most suitable for predicting customer purchase probability? Choose ONE option (1 out of 4)

A : Supervised learning (regression)

B : Supervised learning (classification)

C : Unsupervised learning

D : Reinforcement learning

Answer: B

Question 3

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

Question 4

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 5