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ISTQB Certified Tester AI Testing Exam

Last Update 1 hour ago Total Questions : 120

The ISTQB Certified Tester AI Testing Exam content is now fully updated, with all current exam questions added 1 hour ago. Deciding to include CT-AI practice exam questions in your study plan goes far beyond basic test preparation.

You'll find that our CT-AI exam questions frequently feature detailed scenarios and practical problem-solving exercises that directly mirror industry challenges. Engaging with these CT-AI sample sets allows you to effectively manage your time and pace yourself, giving you the ability to finish any ISTQB Certified Tester AI Testing Exam practice test comfortably within the allotted time.

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%

Question # 5

Which ONE of the following statements correctly describes the importance of flexibility for Al systems?

SELECT ONE OPTION

A.

Al systems are inherently flexible.

B.

Al systems require changing of operational environments; therefore, flexibility is required.

C.

Flexible Al systems allow for easier modification of the system as a whole.

D.

Self-learning systems are expected to deal with new situations without explicitly having to program for it.

Question # 6

A bank wants to use an algorithm to determine which applicants should be given a loan. The bank hires a data scientist to construct a logistic regression model to predict whether the applicant will repay the loan or not. The bank has enough data on past customers to randomly split the data into a training dataset and a test/validation dataset. A logistic regression model is constructed on the training dataset using the following independent variables:

    Gender

    Marital status

    Number of dependents

    Education

    Income

    Loan amount

    Loan term

    Credit score

The model reveals that those with higher credit scores and larger total incomes are more likely to repay their loans. The data scientist has suggested that there might be bias present in the model based on previous models created for other banks.

Given this information, what is the best test approach to check for potential bias in the model?

A.

Experience-based testing should be used to confirm that the training data set is operationally relevant. This can include applying exploratory data analysis (EDA) to check for bias within the training data set.

B.

Back-to-back testing should be used to compare the model created using the training data set to another model created using the test data set. If the two models significantly differ, it will indicate there is bias in the original model.

C.

Acceptance testing should be used to make sure the algorithm is suitable for the customer. The team can re-work the acceptance criteria such that the algorithm is sure to correctly predict the remaining applicants that have been set aside for the validation dataset ensuring no bias is present.

D.

A/B testing should be used to verify that the test data set does not detect any bias that might have been introduced by the original training data. If the two models significantly differ, it will indicate there is bias in the original model.

Question # 7

Which of the following decisions is BEST as a test approach for the described situation?

Choose ONE option (1 out of 4)

A.

You plan to manually execute regular regression tests of the new camera function, particularly for system tests.

B.

You execute the test cases from the old camera model at the integration test level; no further dynamic tests of the operating data pipeline are necessary.

C.

You plan experience-based testing by the entire team at the system test level to ensure that the end users are satisfied.

D.

You plan to perform reviews and exploratory data analysis of the image data sets to reduce the risk of a lack of representativeness of this data.

Question # 8

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?

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

Question # 9

Which ONE of the following options is an example that BEST describes a system with Al-based autonomous functions?

SELECT ONE OPTION

A.

A system that utilizes human beings for all important decisions.

B.

A fully automated manufacturing plant that uses no software.

C.

A system that utilizes a tool like Selenium.

D.

A system that is fully able to respond to its environment.

Question # 10

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

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