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

1. Which ONE of the following statements is a CORRECT adversarial example in the context of machine learning systems that are working on image classifiers.
SELECT ONE OPTION

A) These examples are model specific and are not likely to cause another model trained on same task to fail.
B) These attacks can't be prevented by retraining the model with these examples augmented tothe training data.
C) These attack examples cause a model to predict the correct class with slightly less accuracy even though they look like the original image.
D) Black box attacks based on adversarial examples create an exact duplicate model of the original.

2. "Splendid Healthcare" has started developing a cancer detection system based on ML. The type of cancer they plan on detecting has 2% prevalence rate in the population of a particular geography. It is required that the model performs well for both normal and cancer patients.
Which ONE of the following combinations requires MAXIMIZATION?
SELECT ONE OPTION

A) Maximize recall and precision
B) Maximize specificity number of classes
C) Maximize accuracy and recall
D) Maximize precision and accuracy

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) Validation data - test data
D) Training data - validation data - test data

4. Which ONE of the following approaches to labelling requires the least time and effort?
SELECT ONE OPTION

A) Pre-labeled dataset
B) Al-Assisted
C) Internal
D) Outsourced

Solutions: