ISTQB CT-AI 問題集

質問 1：
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. Nature of data constantly changes with lime.
C. Test data being sourced from public sources.
D. Compliance needs require proper care to be taken of input personal data.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 2：
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION
A. Testing for security
B. Testing for concept drift
C. Testing for bias
D. Testing for accuracy
正解：B
解説: (Topexam メンバーにのみ表示されます)

質問 3：
Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION
A. Clustering is done without prior knowledge of output classes.
B. Clustering is supervised learning.
C. Clustering requires you to know the classes.
D. Clustering is classification of a continuous quantity.
正解：A
解説: (Topexam メンバーにのみ表示されます)

質問 4：
Which ONE of the following is the BEST option to optimize the regression test selection and prevent the regression suite from growing large?
SELECT ONE OPTION
A. Using an Al-based tool to optimize the regression test suite by analyzing past test results
B. Using of a random subset of tests.
C. Identifying suitable tests by looking at the complexity of the test cases.
D. Automating test scripts using Al-based test automation tools.
正解：A
解説: (Topexam メンバーにのみ表示されます)