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

2. Which ONE of the following describes a situation of back-to-back testing the LEAST?
SELECT ONE OPTION

A) Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.
B) Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.
C) Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for same data
D) Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.

3. In a conference on artificial intelligence (Al), a speaker made the statement, "The current implementation of Al using models which do NOT change by themselves is NOT true Al*. Based on your understanding of Al, is this above statement CORRECT or INCORRECT and why?
SELECT ONE OPTION

A) This statement is correct. In general, today the term Al is utilized incorrectly.
B) This statement is incorrect. What is considered Al today will continue to be Al even as technology evolves and changes.
C) This statement is correct. In general, what is considered Al today may change over time.
D) This statement is incorrect. Current Al is true Al and there is no reason to believe that this fact will change over time.

4. Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?
SELECT ONE OPTION

A) Challenges resulting from low accuracy of the models.
B) Challenges in the creation of scenarios of human handover for autonomous systems.
C) The challenge of mimicking undefined scenarios generated due to self-learning
D) The challenge of providing explainability to the decisions made by the system.

Solutions: