CT-AI_v1.0_World無料問題集「ISQI ISTQB Certified Tester AI Testing (v1.0)」

質問 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 hyperparameter bias.

（B）This is an example of sample bias.

（C）This is an example of algorithmic bias.

（D）This is an example of expert system bias.

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 2

Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION

（A）Clustering requires you to know the classes.

（B）Clustering is classification of a continuous quantity.

（C）Clustering is done without prior knowledge of output classes.

（D）Clustering is supervised learning.

正解：C 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 3

Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION

（A）Check the input test data for potential sample bias.

（B）Testing the distribution shift in the training data for inappropriate bias.

（C）Testing the data pipeline for any sources for algorithmic bias.

（D）Test the model during model evaluation for data bias.

正解：D 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

質問 4

Which ONE of the following options represents a technology MOST TYPICALLY used to implement Al?
SELECT ONE OPTION

（A）Procedural programming

（B）Genetic algorithms

（C）Case control structures

（D）Search engines

正解：B 解答を投票する

解説: (JPNTest メンバーにのみ表示されます)

CT-AI_v1.0_World 無料問題集「ISQI ISTQB Certified Tester AI Testing (v1.0)」

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