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

1. Max. Score: 2
Al-enabled medical devices are used nowadays for automating certain parts of the medical diagnostic processes. Since these are life-critical process the relevant authorities are considenng bringing about suitable certifications for these Al enabled medical devices. This certification may involve several facets of Al testing (I - V).
I.Autonomy
II.Maintainability
III.Safety
IV.Transparency
V.Side Effects
Which ONE of the following options contains the three MOST required aspects to be satisfied for the above scenario of certification of Al enabled medical devices?
SELECT ONE OPTION

A) Aspects I, II, and III
B) Aspects III, IV, and V
C) Aspects I, IV, and V
D) Aspects II, III and IV

2. 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) Bias issues
B) Accuracy issues
C) Privacy issues
D) Security issues

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 choosing the right functional-performance metrics.
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 similarity between the training and testing data.

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

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

Solutions: