ISTQB CT-AI Practice Exam Questions

ISTQB CT-AI Sample Question Answers

Question # 1

You have access to the training data that was used to train an AI-based system. You can review thisinformation and use it as a guideline when creating your tests. What type of characteristic is this? 

A. Autonomy  
B. Explorability  
C. Transparency  
D. Accessibility  

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Question # 2

A transportation company operates three types of delivery vehicles in its fleet. The vehicles operateat different speeds (slow, medium, and fast). The transportation company is attempting to optimizescheduling and has created an AI-based program to plan routes for its vehicles using records from themedium-speed vehicle traveling to selected destinations. The test team uses this data inmetamorphic testing to test the accuracy of the estimated travel times created by the AI routeplanner 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 themedium vehicle. Then, by calculating the speed difference, they then predict how much faster orslower the vehicles will travel. That information is then used to verify that the arrival time of thevehicles meets the expected result. 
B. The team decomposes each route into the relevant components that affect the travel time such astraffic density and vehicle power. The team then uses statistical analysis to characterize the influenceof 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 theAI 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 followthe same track. Finally, by driving the fast vehicles on the long routes and slow vehicles on the shortroutes and vice versa, the AI system will have enough information to infer travel times for all vehicleson all routes. 

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Question # 3

A mobile app start-up company is implementing an AI-based chat assistant for e-commercecustomers. In the process of planning the testing, the team realizes that the specifications areinsufficient.Which testing approach should be used to test this system? 

A. Exploratory testing  
B. Static analysis  
C. Equivalence partitioning  
D. State transition testing  

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Question # 4

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  

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Question # 5

When verifying that an autonomous AI-based system is acting appropriately, which of the followingare MOST important to include? 

A. Test cases to verify that the system automatically confirms the correct classification of trainingdata
B. Test cases to detect the system appropriately automating its data input  
C. Test cases to detect the system prompting for unnecessary human intervention  
D. Test cases to verify that the system automatically suppresses invalid output data 

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Question # 6

A beer company is trying to understand how much recognition its logo has in the market. It plans todo that by monitoring images on various social media platforms using a pre-trained neural networkfor logo detection. This particular model has been trained by looking for words, as well as matchingcolors on social media images. The company logo has a big word across the middle with a bold blueand magenta border.Which associated risk is most likely to occur when using this pre-trained model? 

A. There is no risk, as the model has already been trained  
B. Insufficient function; the model was not trained to check for colors or words  
C. Improper data preparation  
D. Inherited bias: the model could have inherited unknown defects  

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Question # 7

A local business has a mail pickup/delivery robot for their office. The robot currently uses a track tomove between pickup/drop off locations. When it arrives at a destination, the robot stops to allow ahuman to remove or deposit mail.The office has decided to upgrade the robot to include AI capabilities that allow the robot to performits 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 acceptancecriteria to be used in the testing of the robot upgrade. Which of the following test objectives will testan 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  

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Question # 8

Which of the following is a dataset issue that can be resolved using pre-processing?  

A. Insufficient data  
B. Invalid data  
C. Wanted outliers  
D. Numbers stored as strings  

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Question # 9

Which of the following characteristics of AI-based systems make it more difficult to ensure they aresafe? 

A. Simplicity  
B. Sustainability  
C. Non-determinism  
D. Robustness  

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Question # 10

Which of the following is a technique used in machine learning?  

A. Decision trees  
B. Equivalence partitioning  
C. Boundary value analysis  
D. Decision tables  

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