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

1. Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION

A) Automating test scripts using Al-based test automation tools.
B) Using an Al-based tool to optimize the regression test suite by analyzing past test results
C) Using of a random subset of tests.
D) Identifying suitable tests by looking at the complexity of the test cases.

2. Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is CORRECT?
SELECT ONE OPTION

A) 1,0.9, 0.8
B) 0.87.0.9. 0.84
C) 0.84.1,0.9
D) 1,0.87,0.84

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

4. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

A) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
B) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
C) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
D) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

Solutions: