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ISQI ISTQB Certified Tester AI Testing (v1.0) Sample Questions:

1. 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) Identifying suitable tests by looking at the complexity of the test cases.
C) Using of a random subset of tests.
D) Automating test scripts using Al-based test automation tools.

2. Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION

A) Internal
B) Outsourced
C) Pre-labeled dataset
D) Al-Assisted

3. "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 focus on non-functional requirements testing.
B) A lack of focus on choosing the right functional-performance metrics.
C) The input data has not been tested for quality prior to use for testing.
D) A lack of similarity between the training and testing data.

4. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

A) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
B) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
C) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
D) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.

Solutions: