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

1. 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.

2. 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 the current neural network ML model on the current data set with a slightly modified data set.
C) 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
D) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

3. 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) Training data - validation data - test data
B) Training data - validation data
C) Validation data - test data
D) Training data * test data

4. Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION

A) Challenges resulting from low accuracy of the models.
B) The challenge of providing explainability to the decisions made by the system.
C) The challenge of mimicking undefined scenarios generated due to self-learning
D) Challenges in the creation of scenarios of human handover for autonomous systems.

Solutions: