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

1. 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

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.

2. In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION

A) Testing for accuracy
B) Testing for concept drift
C) Testing for bias
D) Testing for security

3. Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION

A) Aspects I, II, and III
B) Aspects I, IV, and V
C) Aspects III, IV, and V
D) Aspects II, III and IV

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

Solutions: