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

1. Arihant Meditation is a startup using Al to aid people in deeper and better meditation based on analysis of various factors such as time and duration of the meditation, pulse and blood pressure, EEG patters etc. among others. Their model accuracy and other functional performance parameters have not yet reached their desired level.
Which ONE of the following factors is NOT a factor affecting the ML functional performance?
SELECT ONE OPTION

A) The quality of the labeling
B) The number of classes
C) The data pipeline
D) Biased data

2. Which ONE of the following hardware is MOST suitable for implementing Al when using ML?
SELECT ONE OPTION

A) 64-bit CPUs.
B) Hardware supporting high precision floating point operations.
C) High powered CPUs.
D) Hardware supporting fast matrix multiplication.

3. An image classification system is being trained for classifying faces of humans. The distribution of the data is
70% ethnicity A and 30% for ethnicities B, C and D. Based ONLY on the above information, which of the following options BEST describes the situation of this image classification system?
SELECT ONE OPTION

A) This is an example of algorithmic bias.
B) This is an example of sample bias.
C) This is an example of expert system bias.
D) This is an example of hyperparameter bias.

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: