CT-AI無料問題集「ISTQB Certified Tester AI Testing」

質問 1

Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION

（A）Different features like ADAS, Lane Change Assistance etc.

（B）ML model metrics to evaluate the functional performance

（C）Different weather conditions

（D）Different Road Types

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

"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）The input data has not been tested for quality prior to use for testing.

（C）A lack of focus on non-functional requirements testing.

（D）A lack of focus on choosing the right functional-performance metrics.

正解：A 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

"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 recall and precision

（B）Maximize specificity number of classes

（C）Maximize accuracy and recall

（D）Maximize precision and accuracy

正解：A 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 does NOT describe a challenge for acquiring test data in ML systems?
SELECT ONE OPTION

（A）Data for the use case is being generated at a fast pace.

（B）Test data being sourced from public sources.

（C）Nature of data constantly changes with lime.

（D）Compliance needs require proper care to be taken of input personal data.

正解：A 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 無料問題集「ISTQB Certified Tester AI Testing」

弊社を連絡する

関連リンク

トップ試験