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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 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.

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

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

4. A ML engineer is trying to determine the correctness of the new open-source implementation *X", of a supervised regression algorithm implementation. R-Square is one of the functional performance metrics used to determine the quality of the model.
Which ONE of the following would be an APPROPRIATE strategy to achieve this goal?
SELECT ONE OPTION

A) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
B) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
C) Compare the R-Square score of the model obtained using two different implementations that utilize two different programming languages while using the same algorithm and the same training and testing data.
D) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.

Solutions: