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CT-AI Practice Questions

ISTQB Certified Tester AI Testing Exam

Last Update 3 days ago
Total Questions : 120

Dive into our fully updated and stable CT-AI practice test platform, featuring all the latest ISTQB AI Testing exam questions added this week. Our preparation tool is more than just a ISTQB study aid; it's a strategic advantage.

Our ISTQB AI Testing practice questions crafted to reflect the domains and difficulty of the actual exam. The detailed rationales explain the 'why' behind each answer, reinforcing key concepts about CT-AI. Use this test to pinpoint which areas you need to focus your study on.

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Question # 1

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?

Options:

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

Discussion 0
Question # 2

A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.

Which ONE of the following options represents the BEST possible solution for this above-mentioned task?

SELECT ONE OPTION

Options:

A.  

Regression

B.  

Association

C.  

Clustering

D.  

Classification

Discussion 0
Question # 3

You are using a neural network to train a robot vacuum to navigate without bumping into objects. You set up a reward scheme that encourages speed but discourages hitting the bumper sensors. Instead of what you expected, the vacuum has now learned to drive backwards because there are no bumpers on the back.

This is an example of what type of behavior?

Options:

A.  

Error-shortcircuiting

B.  

Reward-hacking

C.  

Transparency

D.  

Interpretability

Discussion 0
Question # 4

Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.

Which ONE of the following factors is NOT a factor affecting the ML functional performance?

SELECT ONE OPTION

Options:

A.  

The data pipeline

B.  

The quality of the labeling

C.  

Biased data

D.  

The number of classes

Discussion 0
Question # 5

In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.

Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.

SELECT ONE OPTION

Options:

A.  

Testing for accuracy

B.  

Testing for bias

C.  

Testing for concept drift

D.  

Testing for security

Discussion 0
Question # 6

You are testing an autonomous vehicle which uses AI to determine proper driving actions and responses. You have evaluated the parameters and combinations to be tested and have determined that there are too many to test in the time allowed. It has been suggested that you use pairwise testing to limit the parameters. Given the complexity of the software under test, what is likely the outcome from using pairwise testing?

Options:

A.  

The number of parameters to test can be reduced to less than a dozen

B.  

All high priority defects will be identified using this method

C.  

While the number of tests needed can be reduced, there may still be a large enough set of tests that automation will be required to execute all of them

D.  

Pairwise cannot be applied to this problem because there is AI involved and the evolving values may result in unexpected results that cannot be verified

Discussion 0
Question # 7

An airline has created an ML model to project fuel requirements for future flights. The model imports weather data such as wind speeds and temperatures, calculates flight routes based on historical routings from air traffic control, and estimates loads from average passenger and baggage weights. The model performed within an acceptable standard for the airline throughout the summer but as winter set in, the load weights became less accurate. After some exploratory data analysis, it became apparent that luggage weights were higher in the winter than in summer.

Which of the following statements BEST describes the problem and how it could have been prevented?

Options:

A.  

The model suffers from drift and therefore should be regularly tested to ensure that any occurrences of drift are detected soon enough for the problem to be mitigated

B.  

The model suffers from drift and therefore the performance standard should be eased until a new model with more transparency can be developed

C.  

The model suffers from corruption and therefore should be reloaded into the computer system being used, preferably with a method of version control to prevent further changes

D.  

The model suffers from a lack of transparency and therefore should be regularly tested to ensure that any progressive errors are detected soon enough for the problem to be mitigated

Discussion 0
Question # 8

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

Options:

A.  

Decision trees

B.  

Equivalence partitioning

C.  

Boundary value analysis

D.  

Decision tables

Discussion 0
Question # 9

Consider an AI-system in which the complex internal structure has been generated by another software system. Why would the tester choose to do black-box testing on this particular system?

Options:

A.  

Test automation can be built quickly and easily from the test cases developed during black-box testing

B.  

The tester wishes to better understand the logic of the software used to create the internal structure

C.  

The black-box testing method will allow the tester to check the transparency of the algorithm used to create the internal structure

D.  

Black-box testing eliminates the need for the tester to understand the internal structure of the AI-system

Discussion 0
Question # 10

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?

Options:

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.

Discussion 0
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