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

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

2. Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?
SELECT ONE OPTION

A) Sign change coverage
B) Value coverage
C) Threshold coverage
D) Neuron coverage

3. 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.

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

Solutions: