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iSQI CT-AI_(v1.0)_World Exam With Confidence Using Practice Dumps

Exam Code:
CT-AI_(v1.0)_World
Exam Name:
ISTQB Certified Tester AI Testing (v 1.0)
Certification:
Vendor:
Questions:
40
Last Updated:
Apr 4, 2025
Exam Status:
Stable
iSQI CT-AI_(v1.0)_World

CT-AI_(v1.0)_World: ISQI certification Exam 2025 Study Guide Pdf and Test Engine

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ISTQB Certified Tester AI Testing (v 1.0) Questions and Answers

Question 1

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

Options:

A.

Aspects II, III and IV

B.

Aspects I, II, and III

C.

Aspects III, IV, and V

D.

Aspects I, IV, and V

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Question 2

Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?

SELECT ONE OPTION

Options:

A.

Feature selection

B.

Data sampling

C.

Data labeling

D.

Data augmentation

Question 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

Options:

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 weights assigned to the connections between theneurons.

D.

Individual bias at the neuron level, and activation values of neurons in the previous layer.