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ISQI CT-AI_v1.0_World Exam Syllabus Topics:

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

1. 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) Evaluating the model
C) Tuning the model
D) Deploying the model

2. 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) Add 10% of the rows randomly and create another model and compare the R-Square scores of both the model.
B) Drop 10% of the rows randomly and create another model and compare the R-Square scores of both the models.
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.

3. Data used for an object detection ML system was found to have been labelled incorrectly in many cases.
Which ONE of the following options is most likely the reason for this problem?
SELECT ONE OPTION

A) Accuracy issues
B) Privacy issues
C) Bias issues
D) Security issues

4. In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.
Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.
SELECT ONE OPTION

A) Testing for accuracy
B) Testing for concept drift
C) Testing for security
D) Testing for bias

Solutions: