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ISQI certification ISTQB Certified Tester AI Testing (v 1.0)

ISTQB Certified Tester AI Testing (v 1.0)

Last Update Sep 7, 2024
Total Questions : 40

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Questions 4

Which ONE of the following tests is LEAST likely to be performed during the ML model testing phase?

SELECT ONE OPTION

Options:

A.  

Testing the accuracy of the classification model.

B.  

Testing the API of the service powered by the ML model.

C.  

Testing the speed of the training of the model.

D.  

Testing the speed of the prediction by the model.

Discussion 0
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Questions 5

Which ONE of the following options describes a scenario of A/B testing the LEAST?

SELECT ONE OPTION

Options:

A.  

A comparison of two different websites for the same company to observe from a user acceptance perspective.

B.  

A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.

C.  

A comparison of the performance of an ML system on two different input datasets.

D.  

A comparison of the performance of two different ML implementations on the same input data.

Discussion 0
Questions 6

Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.

Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?

SELECT ONE OPTION

Options:

A.  

Different Road Types

B.  

Different weather conditions

C.  

ML model metrics to evaluate the functional performance

D.  

Different features like ADAS, Lane Change Assistance etc.

Discussion 0
Questions 7

An image classification system is being trained for classifying faces of humans. The distribution of the data is 70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?

SELECT ONE OPTION

Options:

A.  

This is an example of expert system bias.

B.  

This is an example of sample bias.

C.  

This is an example of hyperparameter bias.

D.  

This is an example of algorithmic bias.

Discussion 0

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