ISTQB Certified Tester AI Testing (v1.0) CT-AI_v1.0_World exam vce dumps preparation

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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
SELECT ONE OPTION

A) Search of similar code based on natural language processing.
B) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.
C) Clustering of similar code modules to predict based on similarity.
D) Identifying the relationship between developers and the modules developed by them.

2. Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION

A) Validation data - test data
B) Training data - validation data - test data
C) Training data * test data
D) Training data - validation data

3. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

A) Sign change coverage
B) Neuron coverage
C) Value coverage
D) Threshold coverage

4. "BioSearch" is creating an Al model used for predicting cancer occurrence via examining X-Ray images. The accuracy of the model in isolation has been found to be good. However, the users of the model started complaining of the poor quality of results, especially inability to detect real cancer cases, when put to practice in the diagnosis lab, leading to stopping of the usage of the model.
A testing expert was called in to find the deficiencies in the test planning which led to the above scenario.
Which ONE of the following options would you expect to MOST likely be the reason to be discovered by the test expert?
SELECT ONE OPTION

A) A lack of similarity between the training and testing data.
B) The input data has not been tested for quality prior to use for testing.
C) A lack of focus on non-functional requirements testing.
D) A lack of focus on choosing the right functional-performance metrics.

Solutions: