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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 BEST DESCRIBES clustering?
SELECT ONE OPTION

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

2. A software component uses machine learning to recognize the digits from a scan of handwritten numbers. In the scenario above, which type of Machine Learning (ML) is this an example of?
SELECT ONE OPTION

A) Regression
B) Clustering
C) Classification
D) Reinforcement learning

3. 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

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

Solutions: