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

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

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

2. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

A) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
B) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
C) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.
D) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data

3. Which ONE of the following activities is MOST relevant when addressing the scenario where you have more than the required amount of data available for the training?
SELECT ONE OPTION

A) Data labeling
B) Data augmentation
C) Feature selection
D) Data sampling

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) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
C) Train various models by changing the order of input features and verify that the R-Square score of these models vary significantly.
D) 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.

Solutions: