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

1. Which ONE of the following options describes the LEAST LIKELY usage of Al for detection of GUI changes due to changes in test objects?
SELECT ONE OPTION

A) Using a pixel comparison of the GUI before and after the change to check the differences.
B) Using a ML-based classifier to flag if changes in GUI are to be flagged for humans.
C) Using a vision-based detection of the GUI layout changes before and after test object changes.
D) Using a computer vision to compare the GUI before and after the test object changes.

2. A system was developed for screening the X-rays of patients for potential malignancy detection (skin cancer).
A workflow system has been developed to screen multiple cancers by using several individually trained ML models chained together in the workflow.
Testing the pipeline could involve multiple kind of tests (I - III):
I.Pairwise testing of combinations
II.Testing each individual model for accuracy
III.A/B testing of different sequences of models
Which ONE of the following options contains the kinds of tests that would be MOST APPROPRIATE to include in the strategy for optimal detection?
SELECT ONE OPTION

A) I and III
B) Only III
C) Only II
D) I and II

3. Which ONE of the following options describes a scenario of A/B testing the LEAST?
SELECT ONE OPTION

A) A comparison of two different websites for the same company to observe from a user acceptance perspective.
B) A comparison of the performance of an ML system on two different input datasets.
C) A comparison of two different offers in a recommendation system to decide on the more effective offer for same users.
D) A comparison of the performance of two different ML implementations on the same input data.

4. 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) Testing the data pipeline for any sources for algorithmic bias.
B) Test the model during model evaluation for data bias.
C) Testing the distribution shift in the training data for inappropriate bias.
D) Check the input test data for potential sample bias.

Solutions: