最新のCT-AI_v1.0_World問題集で試験を準備する

ISQI CT-AI_v1.0_World 試験概要:

ISQI CT-AI_v1.0_World 試験シラバストピック:

ISQI ISTQB Certified Tester AI Testing (v1.0) 認定 CT-AI_v1.0_World 試験問題：

1. "Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION

A) Maximize specificity number of classes
B) Maximize precision and accuracy
C) Maximize recall and precision
D) Maximize accuracy and recall

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

3. 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) Nature of data constantly changes with lime.
C) Test data being sourced from public sources.
D) Data for the use case is being generated at a fast pace.

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

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