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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

1. Which ONE of the following options does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION

A) Compliance needs require proper care to be taken of input personal data.
B) Test data being sourced from public sources.
C) Nature of data constantly changes with lime.
D) Data for the use case is being generated at a fast pace.

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

3. Which ONE of the following characteristics is the least likely to cause safety related issues for an Al system?
SELECT ONE OPTION

A) Robustness
B) Self-learning
C) High complexity
D) Non-determinism

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 weights assigned to the connections between theneurons.
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 activation values of neurons in the previous layer.

Solutions: