Free Practice ISTQB CT-AI Exam Questions 2026

Consider a machine learning model where the model is attempting to predict if a patient is at risk for stroke. The model collects information on each patient regarding their blood pressure, red blood cell count, smoking, status, history of heart disease, cholesterol level, and demographics. Then, using a decision tree the model predicts whether or not the associated patient is likely to have a stroke in the near future. One the model is created using a training data set, it is used to predict a stroke in 80 additional patients. The table below shows a confusion matrix on whether or not the model mode a correct or incorrect prediction. The testers have calculated what they believe to be an appropriate functional performance metric for the model. They calculated a value of 2/3 or 0.6667.

Which statement about using AI to analyze reported defects is MOST correct? Choose ONE option (1 out of 4) 

Which statement about testing to prevent data poisoning and adversarial attacks is correct? Choose ONE option (1 out of 4)

Which statement about testing to prevent data poisoning and adversarial attacks is correct? Choose ONE option (1 out of 4)

Upon testing a model used to detect rotten tomatoes, the following data was observed by the test engineer, based on certain number of tomato images.

For this confusion matrix which combinations of values of accuracy, recall, and specificity respectively is

CORRECT?

SELECT ONE OPTION