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

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

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

2. Which of the following is THE LEAST appropriate tests to be performed for testing a feature related to autonomy?
SELECT ONE OPTION

A) Test for human handover requiring mandatory relinquishing control.
B) Test for human handover when it should actually not be relinquishing control.
C) Test for human handover after a given time interval.
D) Test for human handover to give rest to the system.

3. Pairwise testing can be used in the context of self-driving cars for controlling an explosion in the number of combinations of parameters.
Which ONE of the following options is LEAST likely to be a reason for this incredible growth of parameters?
SELECT ONE OPTION

A) Different weather conditions
B) ML model metrics to evaluate the functional performance
C) Different features like ADAS, Lane Change Assistance etc.
D) Different Road Types

4. "AllerEgo" is a product that uses sell-learning to predict the behavior of a pilot under combat situation for a variety of terrains and enemy aircraft formations. Post training the model was exposed to the real- world data and the model was found to bebehaving poorly. A lot of data quality tests had been performed on the data to bring it into a shape fit for training and testing.
Which ONE of the following options is least likely to describes the possible reason for the fall in the performance, especially when considering the self-learning nature of the Al system?
SELECT ONE OPTION

A) There was an algorithmic bias in the Al system.
B) The fast pace of change did not allow sufficient time for testing.
C) The unknown nature and insufficient specification of the operating environment might have caused the poor performance.
D) The difficulty of defining criteria for improvement before the model can be accepted.

Solutions: