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

1. Which ONE of the following models BEST describes a way to model defect prediction by looking at the history of bugs in modules by using code quality metrics of modules of historical versions as input?
SELECT ONE OPTION

A) Clustering of similar code modules to predict based on similarity.
B) Search of similar code based on natural language processing.
C) Identifying the relationship between developers and the modules developed by them.
D) Using a classification model to predict the presence of a defect by using code quality metrics as the input data.

2. Which ONE of the following options is the MOST APPROPRIATE stage of the ML workflow to set model and algorithm hyperparameters?
SELECT ONE OPTION

A) Data testing
B) Tuning the model
C) Deploying the model
D) Evaluating the model

3. ln the near future, technology will have evolved, and Al will be able to learn multiple tasks by itself without needing to be retrained, allowing it to operate even in new environments. The cognitive abilities of Al are similar to a child of 1-2 years.' In the above quote, which ONE of the following options is the correct name of this type of Al?
SELECT ONE OPTION

A) Technological singularity
B) Super Al
C) Narrow Al
D) General Al

4. 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

Solutions: