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

2. Which ONE of the following tests is MOST likely to describe a useful test to help detect different kinds of biases in ML pipeline?
SELECT ONE OPTION

A) Test the model during model evaluation for data bias.
B) Testing the data pipeline for any sources for algorithmic bias.
C) Check the input test data for potential sample bias.
D) Testing the distribution shift in the training data for inappropriate bias.

3. A company producing consumable goods wants to identify groups of people with similar tastes for the purpose of targeting different products for each group. You have to choose and apply an appropriate ML type for this problem.
Which ONE of the following options represents the BEST possible solution for this above-mentioned task?
SELECT ONE OPTION

A) Classification
B) Regression
C) Clustering
D) Association

4. Which ONE of the following options BEST DESCRIBES clustering?
SELECT ONE OPTION

A) Clustering is done without prior knowledge of output classes.
B) Clustering is supervised learning.
C) Clustering is classification of a continuous quantity.
D) Clustering requires you to know the classes.

Solutions: