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

2. The activation value output for a neuron in a neural network is obtained by applying computation to the neuron.
Which ONE of the following options BEST describes the inputs used to compute the activation value?
SELECT ONE OPTION

A) Individual bias at the neuron level, activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
B) Activation values of neurons in the previous layer, and weights assigned to the connections between the neurons.
C) Individual bias at the neuron level, and activation values of neurons in the previous layer.
D) Individual bias at the neuron level, and weights assigned to the connections between theneurons.

3. 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

A) ML model metrics to evaluate the functional performance
B) Different features like ADAS, Lane Change Assistance etc.
C) Different Road Types
D) Different weather conditions

4. 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) Value coverage
B) Neuron coverage
C) Sign change coverage
D) Threshold coverage

Solutions: