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

1. Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?
SELECT ONE OPTION

A) Accuracy issues
B) Privacy issues
C) Bias issues
D) Security issues

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

A) Clustering requires you to know the classes.
B) Clustering is supervised learning.
C) Clustering is classification of a continuous quantity.
D) Clustering is done without prior knowledge of output classes.

3. Which ONE of the following combinations of Training, Validation, Testing data is used during the process of learning/creating the model?
SELECT ONE OPTION

A) Training data * test data
B) Training data - validation data
C) Validation data - test data
D) Training data - validation data - test data

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

Solutions: